# Computational and Mathematical Methods in Medicine This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

**Mathematical Modelling of Bacterial Meningitis Transmission Dynamics with Control Measures.**

Authors: Asamoah JKK, Nyabadza F, Seidu B, Chand M, Dutta H
Abstract
Vaccination and treatment are the most effective ways of controlling the transmission of most infectious diseases. While vaccination helps susceptible individuals to build either a long-term immunity or short-term immunity, treatment reduces the number of disease-induced deaths and the number of infectious individuals in a community/nation. In this paper, a nonlinear deterministic model with time-dependent controls has been proposed to describe the dynamics of bacterial meningitis in a population. The model is shown to exhibit a unique globally as...

**Source: **Computational and Mathematical Methods in Medicine - May 22, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**WHODAS 2.0 as a Measure of Severity of Illness: Results of a FLDA Analysis.**

In this study, we explore if WHODAS 2.0 can be used for identifying severity of illness measured by CGI using the Fisher Linear Discriminant Analysis (FLDA) and for identifying which individual items of WHODAS 2.0 best predict CGI scores given by clinicians. One hundred and twenty-two patients were assessed with WHODAS 2.0 and CGI during three months in outpatient mental health facilities of four hospitals of Madrid, Spain. Compared with the traditional correction of WHODAS 2.0, FLDA improves accuracy in near 15%, and so, with FLDA WHODAS 2.0 classifying correctly 59.0% of the patients. Furthermore, FLDA identifies item 6....

**Source: **Computational and Mathematical Methods in Medicine - May 19, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Fast and Accurate Genome-Wide Association Test of Multiple Quantitative Traits.**

Authors: Wu B, Pankow JS
Abstract
Multiple correlated traits are often collected in genetic studies. By jointly analyzing multiple traits, we can increase power by aggregating multiple weak effects and reveal additional insights into the genetic architecture of complex human diseases. In this article, we propose a multivariate linear regression-based method to test the joint association of multiple quantitative traits. It is flexible to accommodate any covariates, has very accurate control of type I errors, and offers very competitive performance. We also discuss fast and accurate significance p value computation e...

**Source: **Computational and Mathematical Methods in Medicine - May 12, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Transfer Kernel Common Spatial Patterns for Motor Imagery Brain-Computer Interface Classification.**

Authors: Dai M, Zheng D, Liu S, Zhang P
Abstract
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern (CSP) as preprocessing step before classification. The CSP method is a supervised algorithm. Therefore a lot of time-consuming training data is needed to build the model. To address this issue, one promising approach is transfer learning, which generalizes a learning model can extract discriminative information from other subjects for target classification task. To this end, we propose a transfer kernel CSP (TKCSP) approach to learn a domain-invariant kernel by directly match...

**Source: **Computational and Mathematical Methods in Medicine - May 12, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Automated Segmentation Methods of Drusen to Diagnose Age-Related Macular Degeneration Screening in Retinal Images.**

Authors: Kim YJ, Kim KG
Abstract
Existing drusen measurement is difficult to use in clinic because it requires a lot of time and effort for visual inspection. In order to resolve this problem, we propose an automatic drusen detection method to help clinical diagnosis of age-related macular degeneration. First, we changed the fundus image to a green channel and extracted the ROI of the macular area based on the optic disk. Next, we detected the candidate group using the difference image of the median filter within the ROI. We also segmented vessels and removed them from the image. Finally, we detected the drusen thr...

**Source: **Computational and Mathematical Methods in Medicine - May 5, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Calculating the Mean Amplitude of Glycemic Excursions from Continuous Glucose Data Using an Open-Code Programmable Algorithm Based on the Integer Nonlinear Method.**

Authors: Yu X, Lin L, Shen J, Chen Z, Jian J, Li B, Xin SX
Abstract
The mean amplitude of glycemic excursions (MAGE) is an essential index for glycemic variability assessment, which is treated as a key reference for blood glucose controlling at clinic. However, the traditional "ruler and pencil" manual method for the calculation of MAGE is time-consuming and prone to error due to the huge data size, making the development of robust computer-aided program an urgent requirement. Although several software products are available instead of manual calculation, poor agreement among them is reported. Therefore, ...

**Source: **Computational and Mathematical Methods in Medicine - May 2, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Feasibility of an AI-Based Measure of the Hand Motions of Expert and Novice Surgeons.**

In conclusion, our artificial intelligence system distinguished between expert and novice surgeons among surgeons with unknown skill levels.
PMID: 29686724 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - April 26, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Multiclass Classification of Cardiac Arrhythmia Using Improved Feature Selection and SVM Invariants.**

This study is conducted to classify patients into one of the sixteen subclasses, among which one class represents absence of disease and the other fifteen classes represent electrocardiogram records of various subtypes of arrhythmias. The research is carried out on the dataset taken from the University of California at Irvine Machine Learning Data Repository. The dataset contains a large volume of feature dimensions which are reduced using wrapper based feature selection technique. For multiclass classification, support vector machine (SVM) based approaches including one-against-one (OAO), one-against-all (OAA), and error-...

**Source: **Computational and Mathematical Methods in Medicine - April 26, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Bayesian Correction for Misclassification in Multilevel Count Data Models.**

Authors: Nelson T, Song JJ, Chin YM, Stamey JD
Abstract
Covariate misclassification is well known to yield biased estimates in single level regression models. The impact on hierarchical count models has been less studied. A fully Bayesian approach to modeling both the misclassified covariate and the hierarchical response is proposed. Models with a single diagnostic test and with multiple diagnostic tests are considered. Simulation studies show the ability of the proposed model to appropriately account for the misclassification by reducing bias and improving performance of interval estimators. A real data example fu...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Direct-Current Electric Field Distribution in the Brain for Tumor Treating Field Applications: A Simulation Study.**

Authors: Sun YS
Abstract
Tumor Treating Fields (TTFields) in combination with chemotherapy and/or radiotherapy have been clinically reported to provide prolonged overall survival in glioblastoma patients. Alternating electric fields with frequencies of 100~300 kHz and magnitudes of 1~3 V/cm are shown to suppress the growth of cancer cells via interactions with polar molecules within dividing cells. Since it is difficult to directly measure the electric fields inside the brain, simulation models of the human head provide a useful tool for predicting the electric field distribution. In the present study...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Computer-Aided Diagnosis of Acute Lymphoblastic Leukaemia.**

Authors: Shafique S, Tehsin S
Abstract
Leukaemia is a form of blood cancer which affects the white blood cells and damages the bone marrow. Usually complete blood count (CBC) and bone marrow aspiration are used to diagnose the acute lymphoblastic leukaemia. It can be a fatal disease if not diagnosed at the earlier stage. In practice, manual microscopic evaluation of stained sample slide is used for diagnosis of leukaemia. But manual diagnostic methods are time-consuming, less accurate, and prone to errors due to various human factors like stress, fatigue, and so forth. Therefore, different automated systems have be...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Simultaneous Segmentation of Leukocyte and Erythrocyte in Microscopic Images Using a Marker-Controlled Watershed Algorithm.**

Authors: Miao H, Xiao C
Abstract
The density or quantity of leukocytes and erythrocytes in a unit volume of blood, which can be automatically measured through a computer-based microscopic image analysis system, is frequently considered an indicator of diseases. The segmentation of blood cells, as a basis of quantitative statistics, plays an important role in the system. However, many conventional methods must firstly distinguish blood cells into two types (i.e., leukocyte and erythrocyte) and segment them in independent procedures. In this paper, we present a marker-controlled watershed algorithm for simultaneously...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Global Dynamics of an Avian Influenza A(H7N9) Epidemic Model with Latent Period and Nonlinear Recovery Rate.**

Authors: Mu R, Yang Y
Abstract
An SEIR type of compartmental model with nonlinear incidence and recovery rates was formulated to study the combined impacts of psychological effect and available resources of public health system especially the number of hospital beds on the transmission and control of A(H7N9) virus. Global stability of the disease-free and endemic equilibria is determined by the basic reproduction number as a threshold parameter and is obtained by constructing Lyapunov function and second additive compound matrix. The results obtained reveal that psychological effect and available resources do not c...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Numerical Simulations of the Motion and Deformation of Three RBCs during Poiseuille Flow through a Constricted Vessel Using IB-LBM.**

The objective was to determine the effects of the degree of constriction and the Reynolds (Re) number of the flow on the physical characteristics of the RBCs. It was found that, with decreasing constriction ratio, the RBCs experienced greater forced deformation as they squeezed through the constriction area compared to at other parts of the microchannel. It was also observed that a longer time was required for the RBCs to squeeze through a narrower constriction. The RBCs subsequently regained a stable shape and gradually migrated toward the centerline of the flow beyond the constriction area. However, a sick RBC was observ...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface.**

Authors: Ma T, Li F, Li P, Yao D, Zhang Y, Xu P
Abstract
Electroencephalogram signals and the states of subjects are nonstationary. To track changing states effectively, an adaptive calibration framework is proposed for the brain-computer interface (BCI) with the motion-onset visual evoked potential (mVEP) as the control signal. The core of this framework is to update the training set adaptively for classifier training. The updating procedure consists of two operations, that is, adding new samples to the training set and removing old samples from the training set. In the proposed framework, a support vector machine...

**Source: **Computational and Mathematical Methods in Medicine - April 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Analysis and Numerical Simulations of a Stochastic SEIQR Epidemic System with Quarantine-Adjusted Incidence and Imperfect Vaccination.**

Authors: Li F, Meng X, Wang X
Abstract
This paper considers a high-dimensional stochastic SEIQR (susceptible-exposed-infected-quarantined-recovered) epidemic model with quarantine-adjusted incidence and the imperfect vaccination. The main aim of this study is to investigate stochastic effects on the SEIQR epidemic model and obtain its thresholds. We first obtain the sufficient condition for extinction of the disease of the stochastic system. Then, by using the theory of Hasminskii and the Lyapunov analysis methods, we show there is a unique stationary distribution of the stochastic system and it has an ergodic prop...

**Source: **Computational and Mathematical Methods in Medicine - April 22, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Corrigendum to "Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors".**

Corrigendum to "Association of Stressful Life Events with Psychological Problems: A Large-Scale Community-Based Study Using Grouped Outcomes Latent Factor Regression with Latent Predictors".
Comput Math Methods Med. 2018;2018:8020962
Authors: Hassanzadeh A, Heidari Z, Feizi A, Hassanzadeh Keshteli A, Roohafza H, Afshar H, Adibi P
Abstract
[This corrects the article DOI: 10.1155/2017/3457103.].
PMID: 29676393 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - April 22, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Novel Model for Cascading Failure Based on Degree Strength and Its Application in Directed Gene Logic Networks.**

Authors: Zhang Y, Zhao M, Su J, Lu X, Lv K
Abstract
A novel model for cascading failures in a directed logic network based on the degree strength at a node was proposed. The definitions of in-degree and out-degree strength of a node were initially reconsidered, and the load at a nonisolated node was proposed as the ratio of in-degree strength to out-degree strength of the node. The cascading failure model based on degree strength was applied to the logic network for three types of cancer including adenocarcinoma of lung, prostate cancer, and colon cancer based on their gene expression profiles. In order to highligh...

**Source: **Computational and Mathematical Methods in Medicine - April 21, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification.**

Authors: Xu J, Mu H, Wang Y, Huang F
Abstract
The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated by this, an effective feature selection method, called supervised locally linear embedding and Spearman's rank correlation coefficient (SLLE-SC2), is proposed which is based on the concept of locally linear embedding and correlation coefficient algorithms. Supervised locally linear embedding takes into account class label in...

**Source: **Computational and Mathematical Methods in Medicine - April 19, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.**

Authors: Seo S, Choi J, Ahn SK, Kim KW, Kim J, Choi J, Kim J, Ahn J
Abstract
We propose a novel method that predicts binding of G-protein coupled receptors (GPCRs) and ligands. The proposed method uses hub and cycle structures of ligands and amino acid motif sequences of GPCRs, rather than the 3D structure of a receptor or similarity of receptors or ligands. The experimental results show that these new features can be effective in predicting GPCR-ligand binding (average area under the curve [AUC] of 0.944), because they are thought to include hidden properties of good ligand-receptor binding. Using the proposed met...

**Source: **Computational and Mathematical Methods in Medicine - April 19, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Scenario Screen: A Dynamic and Context Dependent P300 Stimulator Screen Aimed at Wheelchair Navigation Control.**

Authors: Piña-Ramirez O, Valdes-Cristerna R, Yanez-Suarez O
Abstract
P300 spellers have been widely modified to implement nonspelling tasks. In this work, we propose a "scenario" stimulation screen that is a P300 speller variation to command a wheelchair. Our approach utilized a stimulation screen with an image background (scenario snapshot for a wheelchair) and stimulation markers arranged asymmetrically over relevant landmarks, such as suitable paths, doors, windows, and wall signs. Other scenario stimulation screen features were green/blue stimulation marker color scheme, variable Interstimulus ...

**Source: **Computational and Mathematical Methods in Medicine - April 19, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Prediction of Pathological Subjects Using Genetic Algorithms.**

Authors: Sari M, Tuna C
Abstract
This paper aims at estimating pathological subjects from a population through various physical information using genetic algorithm (GA). For comparison purposes, K-Means (KM) clustering algorithm has also been used for the estimation. Dataset consisting of some physical factors (age, weight, and height) and tibial rotation values was provided from the literature. Tibial rotation types are four groups as RTER, RTIR, LTER, and LTIR. Each tibial rotation group is divided into three types. Narrow (Type 1) and wide (Type 3) angular values were called pathological and normal (Type 2) angu...

**Source: **Computational and Mathematical Methods in Medicine - April 8, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Novel Signal Noise Reduction Method through Cluster Analysis, Applied to Photoplethysmography.**

Authors: Waugh W, Allen J, Wightman J, Sims AJ, Beale TAW
Abstract
Physiological signals can often become contaminated by noise from a variety of origins. In this paper, an algorithm is described for the reduction of sporadic noise from a continuous periodic signal. The design can be used where a sample of a periodic signal is required, for example, when an average pulse is needed for pulse wave analysis and characterization. The algorithm is based on cluster analysis for selecting similar repetitions or pulses from a periodic single. This method selects individual pulses without noise, returns a clean pulse signal...

**Source: **Computational and Mathematical Methods in Medicine - April 8, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.**

Authors: Liu X, Cao P, Yang J, Zhao D
Abstract
Alzheimer's disease (AD) has been not only the substantial financial burden to the health care system but also the emotional burden to patients and their families. Predicting cognitive performance of subjects from their magnetic resonance imaging (MRI) measures and identifying relevant imaging biomarkers are important research topics in the study of Alzheimer's disease. Recently, the multitask learning (MTL) methods with sparsity-inducing norm (e.g., ℓ2,1-norm) have been widely studied to select the discriminative feature subset from MRI features by incorporating inh...

**Source: **Computational and Mathematical Methods in Medicine - April 8, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A PSO-Powell Hybrid Method to Extract Fiber Orientations from ODF.**

Authors: Wu Z, Yu X, Liu Y, Hong M
Abstract
High angular resolution diffusion imaging (HARDI) has opened up new perspectives for the delineation of crossing and branching fiber pathways by orientation distribution function (ODF). The fiber orientations contained in an imaging voxel are the key factor in tractography. To extract real fiber orientations from ODF, a hybrid method is proposed for computing the principal directions of ODF by combining the variation of Particle Swarm Optimization (PSO) algorithm with the modified Powell algorithm. This method is comprised of the global searching ability of PSO and the po...

**Source: **Computational and Mathematical Methods in Medicine - April 4, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Electrocardiogram Delineation in a Wistar Rat Experimental Model.**

Conclusions: Finally, we propose a WT based ECG delineator as a methodology to implement in a wide diversity of experimental ECG analyses using Wistar rats.
PMID: 29593828 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - March 30, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Evaluation of Treatment Effect with Paired Failure Times in a Single-Arm Phase II Trial in Oncology.**

In conclusion, we recommend the nonparametric method, but the parametric method can be used as a supplementary tool.
PMID: 29568321 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - March 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Modelling of Soft Connective Tissues to Investigate Female Pelvic Floor Dysfunctions.**

This study compares the changes in the orientation and position of the female pelvic organs due to weakened fasciae, ligaments, and their combined laxity. A mixture theory weighted by respective volume fraction of elastin-collagen fibre compound (5%), adipose tissue (85%), and smooth muscle (5%) is adopted to characterize the mechanical behaviour of the fascia. The load carrying response (other than the functional response to the pelvic organs) of each fascia component, pelvic organs, muscles, and ligaments are assumed to be isotropic, hyperelastic, and incompressible. Finite element simulations are conducted during Valsal...

**Source: **Computational and Mathematical Methods in Medicine - March 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Juxta-Vascular Pulmonary Nodule Segmentation in PET-CT Imaging Based on an LBF Active Contour Model with Information Entropy and Joint Vector.**

Authors: Hao R, Qiang Y, Yan X
Abstract
The accurate segmentation of pulmonary nodules is an important preprocessing step in computer-aided diagnoses of lung cancers. However, the existing segmentation methods may cause the problem of edge leakage and cannot segment juxta-vascular pulmonary nodules accurately. To address this problem, a novel automatic segmentation method based on an LBF active contour model with information entropy and joint vector is proposed in this paper. Our method extracts the interest area of pulmonary nodules by a standard uptake value (SUV) in Positron Emission Tomography (PET) images, and...

**Source: **Computational and Mathematical Methods in Medicine - March 15, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.**

Authors: Polak S, Wiśniowska B, Mendyk A, Pacławski A, Szlęk J
Abstract
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morphology. QT interval and its modification are the most commonly used surrogates of the drug triggered arrhythmia, but it is known that the QT interval itself is determined by other nondrug related parameters, physiological and pathological. In the current study, we used the computational intellige...

**Source: **Computational and Mathematical Methods in Medicine - March 15, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Accelerated Computing in Magnetic Resonance Imaging: Real-Time Imaging Using Nonlinear Inverse Reconstruction.**

Conclusion: Novel parallel decomposition methods are presented which are applicable to many iterative algorithms for dynamic MRI. Using these methods to parallelize the NLINV algorithm on multiple GPUs, it is possible to achieve online image reconstruction with high frame rates.
PMID: 29463984 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - February 23, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Involvement of Machine Learning for Breast Cancer Image Classification: A Survey.**

Authors: Nahid AA, Kong Y
Abstract
Breast cancer is one of the largest causes of women's death in the world today. Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task. The involvement of digital image classification allows the doctor and the physicians a second opinion, and it saves the doctors' and physicians' time. Despite the various publications on breast image classification, very few review papers are available which provide a detailed description of breast cancer image classification techniques, feat...

**Source: **Computational and Mathematical Methods in Medicine - February 23, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Multiscale High-Level Feature Fusion for Histopathological Image Classification.**

Authors: Lai Z, Deng H
Abstract
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It can gain better representation for the histopathological image than only using coding network. The main process is that training a deep convolutional neural network is to extract high-level feature and fuse two convolutional layers' high-level feature as multiscale high-level feature. In order to gain better performance and high efficiency...

**Source: **Computational and Mathematical Methods in Medicine - February 23, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Corrigendum to "Biomarker MicroRNAs for Diagnosis of Oral Squamous Cell Carcinoma Identified Based on Gene Expression Data and MicroRNA-mRNA Network Analysis".**

Corrigendum to "Biomarker MicroRNAs for Diagnosis of Oral Squamous Cell Carcinoma Identified Based on Gene Expression Data and MicroRNA-mRNA Network Analysis".
Comput Math Methods Med. 2017;2017:1284606
Authors: Zhang H, Li T, Zheng L, Huang X
Abstract
[This corrects the article DOI: 10.1155/2017/9803018.].
PMID: 29446413 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - February 17, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Computational Insight into Protein Tyrosine Phosphatase 1B Inhibition: A Case Study of the Combined Ligand- and Structure-Based Approach.**

In conclusion, a combination of various pharmacophore features and the integration information of structure activity relationship (SAR) can be used to design novel potent PTP1B inhibitors.
PMID: 29441120 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - February 16, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Simulation of Atrial Fibrosis Using Coupled Myocyte-Fibroblast Cellular and Human Atrial Models.**

In this study, we used a proposed fibroblast model coupled with the human atrial myocyte to investigate the effects of fibrosis on atrial excitability and repolarization at both cellular and macroscopic levels. The 12-lead electrocardiogram (ECG) was also simulated to explore the index of clinical diagnosis for fibrosis. The simulation results showed that the fibrosis can modify action potential morphology of human atrial myocyte, slow down wave propagation, and have rate adaptation, thus causing the atrial electrical heterogeneity. The fibrosis alone was sufficient to cause arrhythmia, induce reentry wave, and result in l...

**Source: **Computational and Mathematical Methods in Medicine - February 16, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mathematical Modeling of Biofilm Structures Using COMSTAT Data.**

Authors: Verotta D, Haagensen J, Spormann AM, Yang K
Abstract
Mathematical modeling holds great potential for quantitatively describing biofilm growth in presence or absence of chemical agents used to limit or promote biofilm growth. In this paper, we describe a general mathematical/statistical framework that allows for the characterization of complex data in terms of few parameters and the capability to (i) compare different experiments and exposures to different agents, (ii) test different hypotheses regarding biofilm growth and interaction with different agents, and (iii) simulate arbitrary administrations of ag...

**Source: **Computational and Mathematical Methods in Medicine - February 11, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Epileptic Seizures Prediction Using Machine Learning Methods.**

Authors: Usman SM, Usman M, Fong S
Abstract
Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning techniques and computational methods are used for predicting epileptic seizures from Electroencephalograms (EEG) signals. However, preprocessing of EEG signals for noise removal and features extraction are two major issues that have an adverse effect on both anticipation time and true positive prediction rate. Therefore, we propose a m...

**Source: **Computational and Mathematical Methods in Medicine - February 8, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Defining the Optimal Time of Adaptive Replanning in Prostate Cancer Patients with Weight Change during Volumetric Arc Radiotherapy: A Dosimetric and Mathematical Analysis Using the Gamma Index.**

Authors: Choi HS, Jo GS, Chae JP, Lee SB, Kim CH, Jeong BK, Jeong H, Lee YH, Ha IB, Kang KM, Song JH
Abstract
We evaluated the changes in the dose distribution of radiation during volumetric arc radiotherapy (VMAT), to determine the right time for adaptive replanning in prostate cancer patients with progressive weight (WT) changes. Five prostate cancer patients treated with VMAT were selected for dosimetric analysis. On the original computed tomography images, nine artificial body contours were created to reflect progressive WT changes. Combined with three different photon energies (6, 10, and 15-MV), 27 comparable...

**Source: **Computational and Mathematical Methods in Medicine - February 7, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.**

Authors: Guo H, Qin M, Chen J, Xu Y, Xiang J
Abstract
High-order functional connectivity networks are rich in time information that can reflect dynamic changes in functional connectivity between brain regions. Accordingly, such networks are widely used to classify brain diseases. However, traditional methods for processing high-order functional connectivity networks generally include the clustering method, which reduces data dimensionality. As a result, such networks cannot be effectively interpreted in the context of neurology. Additionally, due to the large scale of high-order functional connectivity networks, it...

**Source: **Computational and Mathematical Methods in Medicine - February 3, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**The Role of the Innate Immune System in Oncolytic Virotherapy.**

This study incorporates the innate immune response into our basic model for virotherapy and investigates how the innate immunity affects the outcome of virotherapy. The viral therapeutic dynamics is largely determined by the viral burst size, relative innate immune killing rate, and relative innate immunity decay rate. The innate immunity may complicate virotherapy in the way of creating more equilibria when the viral burst size is not too big, while the dynamics is similar to the system without innate immunity when the viral burst size is big.
PMID: 29379572 [PubMed - in process] (Source: Computational and Mathematica...

**Source: **Computational and Mathematical Methods in Medicine - February 1, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Computational FEM Model, Phantom and Ex Vivo Swine Breast Validation of an Optimized Double-Slot Microcoaxial Antenna Designed for Minimally Invasive Breast Tumor Ablation: Theoretical and Experimental Comparison of Temperature, Size of Lesion, and SWR, Preliminary Data.**

Authors: Guerrero López GD, Cepeda Rubio MFJ, Hernández Jácquez JI, Vera Hernandez A, Leija Salas L, Valdés Perezgasga F, Flores García F
Abstract
Malignant neoplasms are one of the principal world health concerns and breast cancer is the most common type of cancer in women. Advances in cancer detection technologies allow treating it in early stages; however, it is necessary to develop treatments which carry fewer complications and aesthetic repercussions. This work presents a feasibility study for the use of microwave ablation as a novel technique for breast cancer treatment. A m...

**Source: **Computational and Mathematical Methods in Medicine - January 31, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Using Distributed Data over HBase in Big Data Analytics Platform for Clinical Services.**

Authors: Chrimes D, Zamani H
Abstract
Big data analytics (BDA) is important to reduce healthcare costs. However, there are many challenges of data aggregation, maintenance, integration, translation, analysis, and security/privacy. The study objective to establish an interactive BDA platform with simulated patient data using open-source software technologies was achieved by construction of a platform framework with Hadoop Distributed File System (HDFS) using HBase (key-value NoSQL database). Distributed data structures were generated from benchmarked hospital-specific metadata of nine billion patient records. At opt...

**Source: **Computational and Mathematical Methods in Medicine - January 31, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Influence of Institution-Based Factors on Preoperative Blood Testing Prior to Low-Risk Surgery: A Bayesian Generalized Linear Mixed Approach.**

Authors: Ide K, Yonekura H, Kawasaki Y, Kawakami K
Abstract
To optimize delivery of health care services in clinical practice, the use of unnecessary interventions should be reduced. Although recommendations for this reduction have been accepted worldwide, recent studies have revealed that the use of such procedures continues to increase. We conducted a retrospective cohort study using a nationwide claim-based database to evaluate factors influencing preoperative blood testing prior to low-risk surgery, via a Bayesian generalized linear mixed approach. The study period was set from April 1, 2012, to March 31, 2016,...

**Source: **Computational and Mathematical Methods in Medicine - January 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mathematical Modeling and Control of Infectious Diseases.**

Authors: Zaman G, Jung IH, Torres DFM, Zeb A
PMID: 29362592 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - January 25, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Sequential Probability Ratio Testing with Power Projective Base Method Improves Decision-Making for BCI.**

In this study, the EEG signals were firstly analyzed with a power projective base method. Then we were applied a decision-making model, the sequential probability ratio testing (SPRT), for single-trial classification of motor imagery movement events. The unique strength of this proposed classification method lies in its accumulative process, which increases the discriminative power as more and more evidence is observed over time. The properties of the method were illustrated on thirteen subjects' recordings from three datasets. Results showed that our proposed power projective method outperformed two benchmark methods for ...

**Source: **Computational and Mathematical Methods in Medicine - January 21, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?**

Authors: Qi S, Zhang B, Teng Y, Li J, Yue Y, Kang Y, Qian W
Abstract
Using computational fluid dynamics (CFD) method, the feasibility of simulating transient airflow in a CT-based airway tree with more than 100 outlets for a whole respiratory period is studied, and the influence of truncations of terminal bronchi on CFD characteristics is investigated. After an airway model with 122 outlets is extracted from CT images, the transient airflow is simulated. Spatial and temporal variations of flow velocity, wall pressure, and wall shear stress are presented; the flow pattern and lobar distribution of air are gotten as ...

**Source: **Computational and Mathematical Methods in Medicine - January 17, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Corrigendum to "Development of a Patient-Specific Finite Element Model for Predicting Implant Failure in Pelvic Ring Fracture Fixation".**

Corrigendum to "Development of a Patient-Specific Finite Element Model for Predicting Implant Failure in Pelvic Ring Fracture Fixation".
Comput Math Methods Med. 2017;2017:8956549
Authors: Shim V, Gather A, Höch A, Schreiber D, Grunert R, Peldschus S, Josten C, Böhme J
Abstract
[This corrects the article DOI: 10.1155/2017/9403821.].
PMID: 29333195 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - January 17, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**The Dynamical Behaviors for a Class of Immunogenic Tumor Model with Delay.**

Authors: Bi P, Liu Z, Muthoni MD, Pang J
Abstract
This paper aims at studying the model proposed by Kuznetsov and Taylor in 1994. Inspired by Mayer et al., time delay is introduced in the general model. The dynamic behaviors of this model are studied, which include the existence and stability of the equilibria and Hopf bifurcation of the model with discrete delays. The properties of the bifurcated periodic solutions are studied by using the normal form on the center manifold. Numerical examples and simulations are given to illustrate the bifurcation analysis and the obtained results.
PMID: 29312457 [PubMed - in...

**Source: **Computational and Mathematical Methods in Medicine - January 11, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Modeling Impact of Temperature and Human Movement on the Persistence of Dengue Disease.**

Authors: Phaijoo GR, Gurung DB
Abstract
Dengue is a vector-borne infectious disease endemic in many parts of the world. The disease is spreading in new places due to human movement into the dengue disease supporting areas. Temperature is the major climatic factor which affects the biological processes of the mosquitoes and their interaction with the viruses. In the present work, we propose a multipatch model to assess the impact of temperature and human movement in the transmission dynamics of dengue disease. The work consists of system of ordinary differential equations that describe the transmission dynamics of d...

**Source: **Computational and Mathematical Methods in Medicine - January 11, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research