# 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.

**Accounting for Tube Hematocrit in Modeling of Blood Flow in Cerebral Capillary Networks.**

Authors: Botkin ND, Kovtanyuk AE, Turova VL, Sidorenko IN, Lampe R
Abstract
The aim of this paper consists in the derivation of an analytic formula for the hydraulic resistance of capillaries, taking into account the tube hematocrit level. The consistency of the derived formula is verified using Finite Element simulations. Such an effective formula allows for assigning resistances, depending on the hematocrit level, to the edges of networks modeling biological capillary systems, which extends our earlier models of blood flow through large capillary networks. Numerical simulations conducted for large capillary netwo...

**Source: **Computational and Mathematical Methods in Medicine - September 20, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Prediction of Protein-Protein Interactions Based on Domain.**

Authors: Li X, Yang L, Zhang X, Jiao X
Abstract
Protein-protein interactions (PPIs) play a crucial role in various biological processes. To better comprehend the pathogenesis and treatments of various diseases, it is necessary to learn the detail of these interactions. However, the current experimental method still has many false-positive and false-negative problems. Computational prediction of protein-protein interaction has become a more important prediction method which can overcome the obstacles of the experimental method. In this work, we proposed a novel computational domain-based method for PPI prediction, a...

**Source: **Computational and Mathematical Methods in Medicine - September 20, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Finite Element- and Design of Experiment-Derived Optimization of Screw Configurations and a Locking Plate for Internal Fixation System.**

Conclusions: The proposed orthogonal design and uniform design can be used in a more efficient way for the optimization of internal fixation system, which can reduce the simulation runs to about 10% compared with comprehensive test, and the methodology can be also used for other types of fractures to achieve better internal fixation stability and optimal healing efficiency, which may provide a method for an orthopedist in choosing the screw configurations and parameters for internal fixation system in a more efficient way.
PMID: 31531124 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - September 20, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Rapid and Accurate Registration Method between Intraoperative 2D XA and Preoperative 3D CTA Images for Guidance of Percutaneous Coronary Intervention.**

Authors: Park T, Koo K, Shin J, Lee J, Kim KW
Abstract
In this paper, we propose a rapid rigid registration method for the fusion visualization of intraoperative 2D X-ray angiogram (XA) and preoperative 3D computed tomography angiography (CTA) images. First, we perform the cardiac cycle alignment of a patient's 2D XA and 3D CTA images obtained from a different apparatus. Subsequently, we perform the initial registration through alignment of the registration space and optimal boundary box. Finally, the two images are registered where the distance between two vascular structures is minimized by using the local distan...

**Source: **Computational and Mathematical Methods in Medicine - September 20, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Modelling the Effect of a Novel Autodissemination Trap on the Spread of Dengue in Shah Alam and Malaysia.**

Authors: Liang Y, Ahmad Mohiddin MN, Bahauddin R, Hidayatul FO, Nazni WA, Lee HL, Greenhalgh D
Abstract
In this paper, we will start off by introducing the classical Ross-Macdonald model for vector-borne diseases which we use to describe the transmission of dengue between humans and Aedes mosquitoes in Shah Alam, which is a city and the state capital of Selangor, Malaysia. We will focus on analysing the effect of using the Mosquito Home System (MHS), which is an example of an autodissemination trap, in reducing the number of dengue cases by changing the Ross-Macdonald model. By using the national dengue data from M...

**Source: **Computational and Mathematical Methods in Medicine - September 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mathematical Modeling and Models for Optimal Decision-Making in Health Care.**

Authors: Vanagas G, Krilavičius T, Man KL
PMID: 31485256 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - September 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Theoretical Modeling of Long-Time Drug Release from Nitrosalicyl-Imine-Chitosan Hydrogels through Multifractal Logistic Type Laws.**

Authors: Craciun AM, Barhalescu ML, Agop M, Ochiuz L
Abstract
Drug release is a complex phenomenon due to the large number of interdependent side effects that occur simultaneously, involving strong nonlinear dynamics. Therefore, since their theoretical description is difficult in the classical mathematics modelling, we have built a theoretical model based on logistic type laws, validated by the correlations with the experimental data, in a special case of drug release from hydrogels. The novelty of our approach is the implementation of multifractality in logistic type laws, situation in which any chaotic system, ch...

**Source: **Computational and Mathematical Methods in Medicine - September 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Epigenetic Profiles Reveal That ADCYAP1 Serves as Key Molecule in Gestational Diabetes Mellitus.**

Authors: Li X, Yang W, Fang Y
Abstract
Gestational diabetes mellitus (GDM) refers to the condition which shows abnormal glucose metabolism that occurs during pregnancy, while normal glucose metabolism before pregnancy. In the present study, a novel analytical procedure was used to explore the key molecule of gestational diabetes mellitus. First, the weighted pathway model was carried out subsequently to eliminate the gene-overlapping effects among pathways. Second, we assessed the enriched pathways by a combination of Fisher's t-test and the Mann-Whitney U test. We carried out the functional principal component ana...

**Source: **Computational and Mathematical Methods in Medicine - September 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay.**

Authors: Mello-Román JD, Mello-Román JC, Gómez-Guerrero S, García-Torres M
Abstract
Early diagnosis of dengue continues to be a concern for public health in countries with a high incidence of this disease. In this work, we compared two machine learning techniques: artificial neural networks (ANN) and support vector machines (SVM) as assistance tools for medical diagnosis. The performance of classification models was evaluated in a real dataset of patients with a previous diagnosis of dengue extracted from the public health system of Paraguay during the period 2012-2016. The ANN multilaye...

**Source: **Computational and Mathematical Methods in Medicine - September 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series.**

Authors: Josiński H, Świtoński A, Michalczuk A, Grabiec P, Pawlyta M, Wojciechowski K
Abstract
The ability of the locomotor system to maintain continuous walking despite very small external or internal disturbances is called local dynamic stability (LDS). The importance of the LDS requires constantly working on different aspects of its assessment method which is based on the short-term largest Lyapunov exponent (LLE). A state space structure is a vital aspect of the LDS assessment because the algorithm of the LLE computation for experimental data requires a reconstruction of a state space trajectory. The gait ki...

**Source: **Computational and Mathematical Methods in Medicine - August 21, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Noninvasive Evaluation of Liver Fibrosis Reverse Using Artificial Neural Network Model for Chronic Hepatitis B Patients.**

Authors: Wei W, Wu X, Zhou J, Sun Y, Kong Y, Yang X
Abstract
The diagnostic performance of an artificial neural network model for chronic HBV-induced liver fibrosis reverse is not well established. Our research aims to construct an ANN model for estimating noninvasive predictors of fibrosis reverse in chronic HBV patients after regular antiviral therapy. In our study, 141 consecutive patients requiring liver biopsy at baseline and 1.5 years were enrolled. Several serum biomarkers and liver stiffness were measured during antiviral therapy in both reverse and nonreverse groups. Statistically significant variab...

**Source: **Computational and Mathematical Methods in Medicine - August 21, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Comparison of Test Statistics of Nonnormal and Unbalanced Samples for Multivariate Analysis of Variance in terms of Type-I Error Rates.**

In this study, we investigate how Wilks' lambda, Pillai's trace, Hotelling's trace, and Roy's largest root test statistics can be affected when the normal and homogeneous variance assumptions of the MANOVA method are violated. In other words, in these cases, the robustness of the tests is examined. For this purpose, a simulation study is conducted in different scenarios. In different variable numbers and different sample sizes, considering the group variances are homogeneous (σ 12 = σ 22 = ⋯ = σ g2) and heterogeneous (increasing) (σ 12

**Source: **Computational and Mathematical Methods in Medicine - August 11, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Prosthetic Correction of Proclined Maxillary Incisors: A Biomechanical Analysis.**

Authors: He Y, Chen YC, Teng W, Fok ASL, Chew HP
Abstract
In some cases of proclined maxillary incisors, the proclination can be corrected by a fixed prosthesis. The aim of this study was to investigate the magnitude and distribution of (i) principal stresses in the adjacent alveolar bone and (ii) direct and shear stresses that are normal and parallel, respectively, to the bone-tooth interface of a normal angulated maxillary incisor, a proclined one, and a proclined one corrected with an angled prosthetic crown. 2D finite-element models were constructed, and a static load of 200 N on the palatal surface of t...

**Source: **Computational and Mathematical Methods in Medicine - August 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A Mathematical Model Relating Pitocin Use during Labor with Offspring Autism Development in terms of Oxytocin Receptor Desensitization in the Fetal Brain.**

Authors: Gottlieb MM
Abstract
This paper develops a mathematical model describing the potential buildup of high oxytocin concentrations in the maternal circulation during labor in terms of continuous Pitocin infusion rate, half-life, and maternal weight. Oxytocin override of the degradation of oxytocin by placental oxytocinase is introduced to model the potential transfer of oxytocin from the maternal circulation across the placenta into the fetal circulation and from there into the brain of the fetus. The desensitization unit D equal to 1.8E6 (pg·min)/ml is employed to establish a desensitization thr...

**Source: **Computational and Mathematical Methods in Medicine - August 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Bifurcation Analysis of a Delayed Infection Model with General Incidence Function.**

Authors: Zhang S, Dong H, Xu J
Abstract
In this paper, an infection model with delay and general incidence function is formulated and analyzed. Theoretical results reveal that positive equilibrium may lose its stability, and Hopf bifurcation occurs when choosing delay as the bifurcation parameter. The direction of Hopf bifurcation and the stability of the periodic solutions are also discussed. Furthermore, to illustrate the numerous changes in the local stability and instability of the positive equilibrium, we conduct numerical simulations by using four different types of functional incidence, i.e., bilinear incide...

**Source: **Computational and Mathematical Methods in Medicine - August 1, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Feature Selection Method Based on Partial Least Squares and Analysis of Traditional Chinese Medicine Data.**

In this study, a feature selection method based on partial least squares is proposed. In the new method, exploiting partial least squares allows extraction of the latent variables required for performing multivariable linear regression, and this method applies the L1 regular term constraint to the sum of the absolute values of the regression coefficients. This technique is then combined with the coordinate descent method to perform multiple iterations to select a better feature subset. Analyzing traditional Chinese medicine data and University of California, Irvine (UCI), datasets with the model, the experimental results s...

**Source: **Computational and Mathematical Methods in Medicine - July 31, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Stability and Hopf Bifurcation of a Vector-Borne Disease Model with Saturated Infection Rate and Reinfection.**

Authors: Hu Z, Yin S, Wang H
Abstract
This paper established a delayed vector-borne disease model with saturated infection rate and cure rate. First of all, according to the basic reproductive number R 0, we determined the disease-free equilibrium E 0 and the endemic equilibrium E 1. Through the analysis of the characteristic equation, we consider the stability of two equilibriums. Furthermore, the effect on the stability of the endemic equilibrium E 1 by delay was studied, the existence of Hopf bifurcations of this system in E 1 was analyzed, and the length of delay to preserve stability was estimated. The directi...

**Source: **Computational and Mathematical Methods in Medicine - July 26, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Multiple-Strain Malaria Infection and Its Impacts on Plasmodium falciparum Resistance to Antimalarial Therapy: A Mathematical Modelling Perspective.**

Authors: Orwa TO, Mbogo RW, Luboobi LS
Abstract
The emergence of parasite resistance to antimalarial drugs has contributed significantly to global human mortality and morbidity due to malaria infection. The impacts of multiple-strain malarial parasite infection have further generated a lot of scientific interest. In this paper, we demonstrate, using the epidemiological model, the effects of parasite resistance and competition between the strains on the dynamics and control of Plasmodium falciparum malaria. The analysed model has a trivial equilibrium point which is locally asymptotically stable when the parasite's ...

**Source: **Computational and Mathematical Methods in Medicine - July 26, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Computational Advances in Cardiovascular Health.**

Authors: Monlezun DJ, Nordio F, Niu T
PMID: 31312251 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - July 19, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A Simulation Study Comparing Different Statistical Approaches for the Identification of Predictive Biomarkers.**

Authors: Haller B, Ulm K, Hapfelmeier A
Abstract
Identification of relevant biomarkers that are associated with a treatment effect is one requirement for adequate treatment stratification and consequently to improve health care by administering the best available treatment to an individual patient. Various statistical approaches were proposed that allow assessing the interaction between a continuous covariate and treatment. Nevertheless, categorization of a continuous covariate, e.g., by splitting the data at the observed median value, appears to be very prevalent in practice. In this article, we present a simulati...

**Source: **Computational and Mathematical Methods in Medicine - July 19, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Quick Leukocyte Nucleus Segmentation in Leukocyte Counting.**

Authors: Wang Y, Cao Y
Abstract
The leukocyte nucleus quick segmentation is one of the key techniques in leukocyte real-time online scanning of human blood smear. We propose a quick leukocyte nucleus segmentation method based on the component difference in RGB color space. By analyzing the captured microscopic images of the peripheral blood smears from the autoscanning microscope, it is found that the difference values between B component and G component (B - G values) in the regions of the leukocyte nuclei and the platelets are much bigger than those in the other regions, even in the regions including the stains. ...

**Source: **Computational and Mathematical Methods in Medicine - July 18, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Direct Cellularity Estimation on Breast Cancer Histopathology Images Using Transfer Learning.**

Authors: Pei Z, Cao S, Lu L, Chen W
Abstract
Residual cancer burden (RCB) has been proposed to measure the postneoadjuvant breast cancer response. In the workflow of RCB assessment, estimation of cancer cellularity is a critical task, which is conventionally achieved by manually reviewing the hematoxylin and eosin- (H&E-) stained microscopic slides of cancer sections. In this work, we develop an automatic and direct method to estimate cellularity from histopathological image patches using deep feature representation, tree boosting, and support vector machine (SVM), avoiding the segmentation and classification o...

**Source: **Computational and Mathematical Methods in Medicine - July 11, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mathematical Global Dynamics and Control Strategies on Echinococcus multilocularis Infection.**

Authors: Hassan AS, Munganga JMW
Abstract
Echinococcus multilocularis, a major cause of echinococcosis in human, is a parasitic sylvatic disease between two major hosts in a predator-prey relation. A new model for the transmission dynamics of Echinococcus multilocularis in the population of red foxes and voles with environment as a source of infection is formulated and rigorously analyzed. The model is used to access the impact of treatment on red foxes and environmental disinfection as control strategies on the disease dynamics. The control reproduction number is computed and is used to rigorously prove the local ...

**Source: **Computational and Mathematical Methods in Medicine - July 11, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Numerical Study on Stochastic Diabetes Mellitus Model with Additive Noise.**

This article focuses on the numerical analysis and simulation of the stochastic diabetes mellitus model with additive noise. The existence and uniqueness theorem of the solution under some appropriate assumptions is established. And, the mean square stability and convergence of numerical solutions are proposed, too. The practical use of these theorems is demonstrated in the numerical computations of the stochastic diabetes mellitus model and the value for the forecast of the tendency of diabetes mellitus in a given time.
PMID: 31281410 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - July 11, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Using Machine Learning Algorithms to Predict Hepatitis B Surface Antigen Seroclearance.**

This study aimed to identify the optimal model to predict HBsAg seroclearance. We obtained the laboratory and demographic information for 2,235 patients with CHB from the South China Hepatitis Monitoring and Administration (SCHEMA) cohort. HBsAg seroclearance occurred in 106 patients in total. We developed models based on four algorithms, including the extreme gradient boosting (XGBoost), random forest (RF), decision tree (DCT), and logistic regression (LR). The optimal model was identified by the area under the receiver operating characteristic curve (AUC). The AUCs for XGBoost, RF, DCT, and LR models were 0.891, 0.829, 0...

**Source: **Computational and Mathematical Methods in Medicine - July 11, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Effect of Linearization in a WNT Signaling Model.**

Authors: Ciușdel CF, Coman S, Boldișor C, Kessler T, Muradyan A, Kovachev A, Lehrach H, Wierling C, Itu LM
Abstract
A nonlinear model consisting of a system of coupled ordinary differential equations (ODE), describing a biological process linked with cancer development, is linearized using Taylor series and tested against different magnitudes of input perturbations, in order to investigate the extent to which the linearization is accurate. The canonical wingless/integrated (WNT) signaling pathway is considered. The linearization procedure is described, and special considerations for linearization validity are ana...

**Source: **Computational and Mathematical Methods in Medicine - July 11, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data.**

This article briefly reviews the steps in the evaluation of a diagnostic test from the anatomy, to the role in clinical practice, and to the statistical methods used to show their performances. The statistical approaches are linked with the phase, clinical question, and objective and are accompanied by examples. More details are provided for phase I and II studies while the statistical treatment of phase III and IV is just briefly presented. Several free online resources useful in the calculation of some statistics are also given.
PMID: 31275427 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - July 7, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Using Sacrificial Cell Spheroids for the Bioprinting of Perfusable 3D Tissue and Organ Constructs: A Computational Study.**

Authors: Robu A, Mironov V, Neagu A
Abstract
A long-standing problem in tissue engineering is the biofabrication of perfusable tissue constructs that can be readily connected to the patient's vasculature. It was partially solved by three-dimensional (3D) printing of sacrificial material (e.g., hydrogel) strands: upon incorporation in another cell-laden hydrogel, the strands were removed, leaving behind perfusable channels. Their complexity, however, did not match that of the native vasculature. Here, we propose to use multicellular spheroids as a sacrificial material and investigate their potential benefits in the ...

**Source: **Computational and Mathematical Methods in Medicine - June 28, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Corrigendum to "Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation".**

Corrigendum to "Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation".
Comput Math Methods Med. 2019;2019:7910208
Authors: Ji Y, Ma W, Song K
Abstract
[This corrects the article DOI: 10.1155/2018/3176893.].
PMID: 31223332 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - June 22, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Model-Based Quantification of Left Ventricular Diastolic Function in Critically Ill Patients with Atrial Fibrillation from Routine Data: A Feasibility Study.**

Conclusion: The proposed approach successfully inferred β within the physiological range. This is the first report of an approach quantifying LVDF from routine monitoring data in critically ill AF patients. Provided future successful external validation, this approach may offer a tool for minimally invasive online monitoring of this crucial parameter.
PMID: 31223333 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - June 22, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Continuous Readout versus Titer-Based Assays of Influenza Vaccine Trials: Sensitivity, Specificity, and False Discovery Rates.**

Authors: Li D, Wang J, Garigen J, Treanor JJ, Zand MS
Abstract
The current gold standard for measuring antibody-based immunity to influenza viruses relies on the hemagglutinin inhibition assay (HAI), an 80-year-old technology, and the microneutralization assay (MN). Both assays use serial dilution to provide a discrete, ranked readout of 8-14 categorical titer values for each sample. In contrast to other methods of measuring vaccine antibody levels that produce a continuous readout (i.e., mPLEX-Flu and ELISA), titering methods introduce imprecision and increase false discovery rates (FDR). In this paper, we assess ...

**Source: **Computational and Mathematical Methods in Medicine - June 19, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Modeling Inhibitory Effect on the Growth of Uninfected T Cells Caused by Infected T Cells: Stability and Hopf Bifurcation.**

Authors: Ji Y, Ma W, Song K
Abstract
We consider a class of viral infection dynamic models with inhibitory effect on the growth of uninfected T cells caused by infected T cells and logistic target cell growth. The basic reproduction number R 0 is derived. It is shown that the uninfected equilibrium is globally asymptotically stable if R 0

**Source: **Computational and Mathematical Methods in Medicine - June 15, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China.**

This study aims to balance the utilization of existing beds in a large tertiary hospital in China. We developed a data-driven hybrid three-stage framework incorporating data analysis, simulation, and mixed integer programming to minimize the gaps in BOR among different departments. The first stage is to calculate the length of stay (LOS) and BOR of each department and identify the departments that need to be allocated beds. In the second stage, we used a fitted arrival distribution and median LOS as the input to a generic simulation model. In the third stage, we built a mixed integer programming model using the results obt...

**Source: **Computational and Mathematical Methods in Medicine - June 15, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A Novel Method for Predicting Disease-Associated LncRNA-MiRNA Pairs Based on the Higher-Order Orthogonal Iteration.**

In this study, a novel model called PADLMHOOI was proposed to predict potential associations between diseases and lncRNA-miRNA pairs based on the higher-order orthogonal iteration, and in order to evaluate its prediction performance, the global and local LOOCV were implemented, respectively, and simulation results demonstrated that PADLMHOOI could achieve reliable AUCs of 0.9545 and 0.8874 in global and local LOOCV separately. Moreover, case studies further demonstrated the effectiveness of PADLMHOOI to infer unknown disease-related lncRNA-miRNA pairs.
PMID: 31191710 [PubMed - in process] (Source: Computational and Mat...

**Source: **Computational and Mathematical Methods in Medicine - June 15, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Finite Element Method Analysis of Compression Fractures on Whole-Spine Models Including the Rib Cage.**

Authors: Nishida N, Ohgi J, Jiang F, Ito S, Imajo Y, Suzuki H, Funaba M, Nakashima D, Sakai T, Chen X
Abstract
Spinal compression fractures commonly occur at the thoracolumbar junction. We have previously constructed a 3-dimensional whole-spine model from medical images by using the finite element method (FEM) and then used this model to develop a compression fracture model. However, these models lacked the rib cage. No previous study has used whole-spine models including the rib cage constructed from medical images to analyze compression fractures. Therefore, in this study, we added the rib cage to whole-spine mod...

**Source: **Computational and Mathematical Methods in Medicine - June 15, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Improved Specificity and False Discovery Rates for Multiplex Analysis of Changes in Strain-Specific Anti-Influenza IgG.**

We describe a statistical approach to compare absolute antibody concentrations, both within and across subjects, derived from a multidimensional measurement of IgG binding to the influenza surface receptor hemagglutinin (HA). This approach addresses a fundamental problem in the field of vaccine immunology: how to accurately compare the levels of antibodies against multiple influenza strains. The mPlex-Flu assay can simultaneously measure the concentration of IgG antibodies against up to 50 influenza strains with only ≤10 μl of serum. It yields mean fluorescence intensity (MFI) over a 4-log range with l...

**Source: **Computational and Mathematical Methods in Medicine - June 12, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Jackknife Model Averaging Prediction Methods for Complex Phenotypes with Gene Expression Levels by Integrating External Pathway Information.**

Conclusion: The proposed method JMAP is a novel model-averaging approach for high dimensional genetic risk prediction while incorporating external useful group structures into the model specification.
PMID: 31089389 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - May 16, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Comparison of Three Different Types of Two-Implant-Supported Magnetic Attachments on the Stress Distribution in Edentulous Mandible.**

In this study, a three-dimensional finite element analysis was used to compare the biomechanical characteristics of three different types of magnetic attachments in two-implant-retained mandibular overdentures. Flat-type, dome-type, and cushion-type of the magnetic attachments were designed to retain the overdenture. Four types of load were applied to the overdenture in each model: 100 N vertical and oblique loads on the right first molar and a 100 N vertical load on the right canine and the lower incisors. The biomechanical behaviors of peri-implant bone, abutment, and mucosa were recorded. In vertical incis...

**Source: **Computational and Mathematical Methods in Medicine - May 16, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**An Improved Sliding Window Area Method for T Wave Detection.**

Conclusions: F1 results from the improved algorithm version were higher than those from the traditional method, indicating a potentially useful application for the proposed method in ECG monitoring.
PMID: 31065291 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - May 9, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Determination of Varying Group Sizes for Pooling Procedure.**

In this study, we propose a sequential procedure to determine varying group sizes through fully utilizing available information. This procedure is data driven. Simulations show that it has good performance in estimating parameters.
PMID: 31065292 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - May 9, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records.**

We present a method for coreference resolution in Lithuanian language and its application for processing e-health records from a hospital reception. Our novelty is the ability to process coreferences with minimal linguistic resources, which is important in linguistic applications for rare and endangered languages. The experimental results show that coreference resolution is applicable to the development of NLP-powered online healthcare services in Lithuania.
PMID: 31015858 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - April 26, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Automatic Segmentation of Pathological Glomerular Basement Membrane in Transmission Electron Microscopy Images with Random Forest Stacks.**

Authors: Cao L, Lu Y, Li C, Yang W
Abstract
Pathological classification through transmission electron microscopy (TEM) is essential for the diagnosis of certain nephropathy, and the changes of thickness in glomerular basement membrane (GBM) and presence of immune complex deposits in GBM are often used as diagnostic criteria. The automatic segmentation of the GBM on TEM images by computerized technology can provide clinicians with clear information about glomerular ultrastructural lesions. The GBM region on the TEM image is not only complicated and changeable in shape but also has a low contrast and wide distributio...

**Source: **Computational and Mathematical Methods in Medicine - April 26, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.**

This study reviews the technique of convolutional neural network (CNN) applied in a specific field of mammographic breast cancer diagnosis (MBCD). It aims to provide several clues on how to use CNN for related tasks. MBCD is a long-standing problem, and massive computer-aided diagnosis models have been proposed. The models of CNN-based MBCD can be broadly categorized into three groups. One is to design shallow or to modify existing models to decrease the time cost as well as the number of instances for training; another is to make the best use of a pretrained CNN by transfer learning and fine-tuning; the third is to take a...

**Source: **Computational and Mathematical Methods in Medicine - April 26, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**A Clinical TB Detection Method Based on Molecular Typing Technique with Quality Control.**

In this study, a method to detect tubercle bacillus based on the molecular typing technique is presented. This method can detect genetic units, variable number of tandem repeat (VNTR), which are the characteristic of tuberculosis (TB), and performs quality control using a mathematical model, ensuring the reliability of the results. Compared to other methods, the proposed method was able to process and diagnose a large volume of samples in a run time of six hours, with high sensitivity and specificity. Our method is also in the pipeline for implementation in clinical testing. Reliable and confirmed results are stored into a...

**Source: **Computational and Mathematical Methods in Medicine - April 26, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Bayesian Analysis of Three-Parameter Frechet Distribution with Medical Applications.**

Authors: Abbas K, Abbasi NY, Ali A, Khan SA, Manzoor S, Khalil A, Khalil U, Khan DM, Hussain Z, Altaf M
Abstract
The medical data are often filed for each patient in clinical studies in order to inform decision-making. Usually, medical data are generally skewed to the right, and skewed distributions can be the appropriate candidates in making inferences using Bayesian framework. Furthermore, the Bayesian estimators of skewed distribution can be used to tackle the problem of decision-making in medicine and health management under uncertainty. For medical diagnosis, physician can use the Bayesian estimators to quanti...

**Source: **Computational and Mathematical Methods in Medicine - April 19, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network.**

Authors: Horng MH, Kuok CP, Fu MJ, Lin CJ, Sun YN
Abstract
Scoliosis is a common spinal condition where the spine curves to the side and thus deforms the spine. Curvature estimation provides a powerful index to evaluate the deformation severity of scoliosis. In current clinical diagnosis, the standard curvature estimation method for assessing the curvature quantitatively is done by measuring the Cobb angle, which is the angle between two lines, drawn perpendicular to the upper endplate of the uppermost vertebra involved and the lower endplate of the lowest vertebra involved. However, manual measurement of spine cur...

**Source: **Computational and Mathematical Methods in Medicine - April 19, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mathematical Analysis of a Mathematical Model of Chemovirotherapy: Effect of Drug Infusion Method.**

Authors: Malinzi J
Abstract
A mathematical model for the treatment of cancer using chemovirotherapy is developed with the aim of determining the efficacy of three drug infusion methods: constant, single bolus, and periodic treatments. The model is in the form of ODEs and is further extended into DDEs to account for delays as a result of the infection of tumor cells by the virus and chemotherapeutic drug responses. Analysis of the model is carried out for each of the three drug infusion methods. Analytic solutions are determined where possible and stability analysis of both steady state solutions for the ODEs and DD...

**Source: **Computational and Mathematical Methods in Medicine - April 16, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms.**

Authors: Cai H, Huang Q, Rong W, Song Y, Li J, Wang J, Chen J, Li L
Abstract
Mammography is successfully used as an effective screening tool for cancer diagnosis. A calcification cluster on mammography is a primary sign of cancer. Early researches have proved the diagnostic value of the calcification, yet their performance is highly dependent on handcrafted image descriptors. Characterizing the calcification mammography in an automatic and robust way remains a challenge. In this paper, the calcification was characterized by descriptors obtained from deep learning and handcrafted descriptors. We compared the perform...

**Source: **Computational and Mathematical Methods in Medicine - April 6, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Existence of a Conserved Quantity and Stability of In Vitro Virus Infection Dynamics Models with Absorption Effect.**

Authors: Martínez-Lázaro C, Taneco-Hernández MA, Reyes-Carreto R, Vargas-De-León C
Abstract
The estimation of parameters in biomathematical models is useful to characterize quantitatively the dynamics of biological processes. In this paper, we consider some systems of ordinary differential equations (ODEs) modelling the viral dynamics in a cell culture. These models incorporate the loss of viral particles due to the absorption into target cells. We estimated the parameters of models by least-squares minimization between numerical solution of the system and experimental data of cell cultu...

**Source: **Computational and Mathematical Methods in Medicine - April 6, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation.**

Authors: Tan L, Yu X
Abstract
Clinical diagnosis has high requirements for the visual effect of medical images. To obtain rich detail features and clear edges for fusion medical images, an image fusion algorithm FFST-SR-PCNN based on fast finite shearlet transform (FFST) and sparse representation is proposed, aiming at the problem of poor clarity of edge details that is conducive to maintaining the details of source image in current algorithms. Firstly, the source image is decomposed into low-frequency coefficients and high-frequency coefficients by FFST. Secondly, the K-SVD method is used to train the low-frequenc...

**Source: **Computational and Mathematical Methods in Medicine - April 6, 2019 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research