# 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.

**A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism.**

Authors: Wang Q, Liu F, Xing S, Zhao X
Abstract
Click-through rate prediction is critical in Internet advertising and affects web publisher's profits and advertiser's payment. The traditional method of obtaining features using feature extraction did not consider the sparseness of advertising data and the highly nonlinear association between features. To reduce the sparseness of data and to mine the hidden features in advertising data, a method that learns the sparse features is proposed. Our method exploits dimension reduction based on decomposition, takes advantage of the attention mechanism in neural network mode...

**Source: **Computational and Mathematical Methods in Medicine - October 13, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Numerical and Experimental Investigation of Novel Blended Bifurcated Stent Grafts with Taper to Improve Hemodynamic Performance.**

Authors: Liu M, Wang Z, Sun A, Deng X
Abstract
The typical helical flow within the human arterial system is widely used when designing cardiovascular devices, as this helical flow can be generated using the "crossed limbs" strategy of the bifurcated stent graft (BSG) and enhanced by the tapered structure of arteries. Here, we propose the use of a deflected blended bifurcated stent graft (BBSG) with various tapers, using conventional blended BSGs with the same degree of taper as a comparison. Hemodynamic performances, including helical strength and wall shear stress- (WSS-) based indicators, were assessed....

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

**Illness-Death Model in Chronic Disease Epidemiology: Characteristics of a Related, Differential Equation and an Inverse Problem.**

Authors: Brinks R
Abstract
Chronic diseases impose a huge burden for mankind. Recently, a mathematical relation between the incidence and prevalence of a chronic disease in terms of a differential equation has been described. In this article, we study the characteristics of this differential equation. Furthermore, we prove the ill-posedness of a related inverse problem arising in chronic disease epidemiology. An example application for the inverse problem about type 1 diabetes in German women aged up to 35 years is given.
PMID: 30275874 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**DINOSARC: Color Features Based on Selective Aggregation of Chromatic Image Components for Wireless Capsule Endoscopy.**

Authors: Vasilakakis MD, Iakovidis DK, Spyrou E, Koulaouzidis A
Abstract
Wireless Capsule Endoscopy (WCE) is a noninvasive diagnostic technique enabling the inspection of the whole gastrointestinal (GI) tract by capturing and wirelessly transmitting thousands of color images. Proprietary software "stitches" the images into videos for examination by accredited readers. However, the videos produced are of large length and consequently the reading task becomes harder and more prone to human errors. Automating the WCE reading process could contribute in both the reduction of the examination time and the impro...

**Source: **Computational and Mathematical Methods in Medicine - September 27, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Image Decomposition Algorithm for Dual-Energy Computed Tomography via Fully Convolutional Network.**

Conclusions: Our deep cascaded network features high decomposition accuracies and noise robust property. The experimental results have shown the strong function fitting ability of the deep neural network. Deep learning paradigm could be a promising way to solve the nonlinear problem in DECT.
PMID: 30254689 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

**Source: **Computational and Mathematical Methods in Medicine - September 27, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis.**

Authors: Zhang B, Lei T, Liu H, Cai H
Abstract
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and related psychiatric diseases, so it attracts a lot of attention from sleep researchers. Nevertheless, sleep staging based on visual inspection of tradition is subjective, time-consuming, and error-prone due to the large bulk of data which have to be processed. Therefore, automatic sleep staging is essential in order to solve these problems. In this article, an electroencephalogram- (EEG-) based scheme that is able to automatically classify sleep stages is proposed. First...

**Source: **Computational and Mathematical Methods in Medicine - September 27, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance.**

Authors: Kanyiri CW, Mark K, Luboobi L
Abstract
Every year, influenza causes high morbidity and mortality especially among the immunocompromised persons worldwide. The emergence of drug resistance has been a major challenge in curbing the spread of influenza. In this paper, a mathematical model is formulated and used to analyze the transmission dynamics of influenza A virus having incorporated the aspect of drug resistance. The qualitative analysis of the model is given in terms of the control reproduction number, Rc. The model equilibria are computed and stability analysis carried out. The model is found to exhibi...

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

**Validity and Reliability of the Newly Developed Surface Electromyography Device for Measuring Muscle Activity during Voluntary Isometric Contraction.**

Conclusions: The PSL-EMG-Tr1 was performed with acceptable validity. Furthermore, the high accessibility and portability of the device are useful in adjusting the type and intensity of exercise.
PMID: 30245738 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**Skin Disease Recognition Method Based on Image Color and Texture Features.**

Authors: Wei LS, Gan Q, Ji T
Abstract
Skin diseases have a serious impact on people's life and health. Current research proposes an efficient approach to identify singular type of skin diseases. It is necessary to develop automatic methods in order to increase the accuracy of diagnosis for multitype skin diseases. In this paper, three type skin diseases such as herpes, dermatitis, and psoriasis skin disease could be identified by a new recognition method. Initially, skin images were preprocessed to remove noise and irrelevant background by filtering and transformation. Then the method of grey-level co-occurrence ma...

**Source: **Computational and Mathematical Methods in Medicine - September 20, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**SIR Model for Dengue Disease with Effect of Dengue Vaccination.**

Authors: Chanprasopchai P, Tang IM, Pongsumpun P
Abstract
The dengue disease is caused by dengue virus, and there is no specific treatment. The medical care by experienced physicians and nurses will save life and will lower the mortality rate. A dengue vaccine to control the disease is available in Thailand since late 2016. A mathematical model would be an important way to analyze the effects of the vaccination on the transmission of the disease. We have formulated an SIR (susceptible-infected-recovered) model of the transmission of the disease which includes the effect of vaccination and used standard dynamical mo...

**Source: **Computational and Mathematical Methods in Medicine - September 20, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Fast Interleaved Multislice T1 Mapping: Model-Based Reconstruction of Single-Shot Inversion-Recovery Radial FLASH.**

Conclusion: Rapid, robust, accurate, and precise multislice T1 mapping may be achieved by combining the advantages of a model-based nonlinear inverse reconstruction, radial sampling, parallel imaging, and compressed sensing.
PMID: 30186361 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**Qualitative and Sensitivity Analysis of the Effect of Electronic Cigarettes on Smoking Cessation.**

Authors: Jung JH, Park A, Jung IH
Abstract
Recently, the role of the electronic cigarettes (e-cigarettes) in a way to reduce smoking is increasing. E-cigarettes are a device that delivers only the nicotine, and its use is considered less harmful to health compared with tobacco cigarettes. Smokers frequently make use of e-cigarettes as one of the nonsmoking aid devices. In this work, we propose a mathematical model to analyze the effect of e-cigarettes on smoking cessation. The stability and the bifurcation of the model have been discussed. The parameter estimations from the observed data are drawn, and using the pa...

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

**The Application of Dynamic Models to the Exploration of β1-AR Overactivation as a Cause of Heart Failure.**

The Application of Dynamic Models to the Exploration of β1-AR Overactivation as a Cause of Heart Failure.
Comput Math Methods Med. 2018;2018:1613290
Authors: Wang X, Zhao M, Wang X, Li S, Cao N, Liu H
Abstract
High titer of β1-adrenoreceptor autoantibodies (β1-AA) has been reported to appear in heart failure patients. It induces sustained β1-adrenergic receptor (β1-AR) activation which leads to heart failure (HF), but the mechanism is as yet unclear. In order to investigate the mechanisms causing β1-AR non-desensitization, we studied the beating frequency of the neonatal r...

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

**Large-Deformation Image Registration of CT-TEE for Surgical Navigation of Congenital Heart Disease.**

Authors: Gou S, Chen L, Gu Y, Huang L, Huang M, Zhuang J
Abstract
The surgical treatment of congenital heart disease requires navigational assistance with transesophageal echocardiography (TEE); however, TEE images are often difficult to interpret and provide very limited anatomical information. Registering preoperative CT images to intraoperative TEE images provides surgeons with richer and more useful anatomical information. Yet, CT and TEE images differ substantially in terms of scale and geometry. In the present research, we propose a novel method for the registration of CT and TEE images for navigation during ...

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

**Stimulation Strategies for Tinnitus Suppression in a Neuron Model.**

Authors: Paffi A, Camera F, Carocci C, Apollonio F, Liberti M
Abstract
Tinnitus is a debilitating perception of sound in the absence of external auditory stimuli. It may have either a central or a peripheral origin in the cochlea. Experimental studies evidenced that an electrical stimulation of peripheral auditory fibers may alleviate symptoms but the underlying mechanisms are still unknown. In this work, a stochastic neuron model is used, that mimics an auditory fiber affected by tinnitus, to check the effects, in terms of firing reduction, of different kinds of electric stimulations, i.e., continuous wave signals...

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

**Potential Genes and Pathways of Neonatal Sepsis Based on Functional Gene Set Enrichment Analyses.**

Conclusion: This research might provide the perspective information to explore the potential novel genes and pathways as NS therapy targets.
PMID: 30154914 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**A Patient-Independent Significance Test by Means of False-Positive Rates in Selected Correlation Analysis of Brain Multimodal Monitoring Data.**

Authors: Faltermeier R, Proescholdt MA, Wolf S, Bele S, Brawanski A
Abstract
Recently, we introduced a mathematical toolkit called selected correlation analysis (sca) that reliably detects negative and positive correlations between arterial blood pressure (ABP) and intracranial pressure (ICP) data, recorded during multimodal monitoring, in a time-resolved way. As has been shown with the aid of a mathematical model of cerebral perfusion, such correlations reflect impaired autoregulation and reduced intracranial compliance in patients with critical neurological diseases. Sca calculates a Fourier transform-based index...

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

**Bayesian Equivalence Testing and Meta-Analysis in Two-Arm Trials with Binary Data.**

Authors: Kpekpena C, Muthukumarana S
Abstract
We consider a Bayesian approach for assessing hypotheses of equivalence in two-arm trials with binary Data. We discuss the development of likelihood, the prior, and the posterior distributions of parameters of interest. We then examine the suitability of a normal approximation to the posterior distribution obtained via a Taylor series expansion. The Bayesian inference is carried out using Markov Chain Monte Carlo (MCMC) methods. We illustrate the methods using actual data arising from two-arm clinical trials on preventing mortality after myocardial infarction.
PMID:...

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

**Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling.**

Authors: Onan A
Abstract
Text mining is an important research direction, which involves several fields, such as information retrieval, information extraction, and text categorization. In this paper, we propose an efficient multiple classifier approach to text categorization based on swarm-optimized topic modelling. The Latent Dirichlet allocation (LDA) can overcome the high dimensionality problem of vector space model, but identifying appropriate parameter values is critical to performance of LDA. Swarm-optimized approach estimates the parameters of LDA, including the number of topics and all the other parameters i...

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

**Reversible and Fragile Watermarking for Medical Images.**

Authors: Atta-Ur-Rahman, Sultan K, Aldhafferi N, Alqahtani A, Mahmud M
Abstract
A novel reversible digital watermarking technique for medical images to achieve high level of secrecy, tamper detection, and blind recovery of the original image is proposed. The technique selects some of the pixels from the host image using chaotic key for embedding a chaotically generated watermark. The rest of the pixels are converted to residues by using the Residue Number System (RNS). The chaotically selected pixels are represented by the polynomial. A primitive polynomial of degree four is chosen that divides the message polynomi...

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

**A Feasible Computational Fluid Dynamics Study for Relationships of Structural and Functional Alterations with Particle Depositions in Severe Asthmatic Lungs.**

This study aims to investigate the effect of altered structures and functions in severe asthma on particle deposition by using computational fluid dynamics (CFD) models. Airway geometrical models of two healthy subjects and two severe asthmatics were reconstructed from computed tomography (CT) images. Subject-specific flow boundary conditions were obtained by image registration to account for regional functional alterations of severe asthmatics. A large eddy simulation (LES) model for transitional and turbulent flows was applied to simulate airflows, and particle transport simulations were then performed for 2.5, 5, and 10...

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

**A Neuromuscular Interface for Robotic Devices Control.**

Authors: Kastalskiy I, Mironov V, Lobov S, Krilova N, Pimashkin A, Kazantsev V
Abstract
A neuromuscular interface (NI) that can be employed to operate external robotic devices (RD), including commercial ones, was proposed. Multichannel electromyographic (EMG) signal is used in the control loop. Control signal can also be supplemented with electroencephalography (EEG), limb kinematics, or other modalities. The multiple electrode approach takes advantage of the massive resources of the human brain for solving nontrivial tasks, such as movement coordination. Multilayer artificial neural network was used for feature cl...

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

**Clustered Breeding Sites: Shelters for Vector-Borne Diseases.**

Authors: Dias JCA, Monteiro LHA
Abstract
Here, the propagation of vector-borne diseases is modeled by using a probabilistic cellular automaton. Numerical simulations considering distinct spatial distributions and time variations of the vector abundance are performed, in order to investigate their impacts on the number of infected individuals of the host population. The main conclusion is as follows: in the clustered distributions, the prevalence is lower, but the eradication is more difficult to be achieved, as compared to homogeneous distributions. This result can be relevant in the implementation of preventive su...

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

**Analysis and Study of Diabetes Follow-Up Data Using a Data-Mining-Based Approach in New Urban Area of Urumqi, Xinjiang, China, 2016-2017.**

Authors: Li Y, Li H, Yao H
Abstract
The focus of this study is the use of machine learning methods that combine feature selection and imbalanced process (SMOTE algorithm) to classify and predict diabetes follow-up control satisfaction data. After the feature selection and unbalanced process, diabetes follow-up data of the New Urban Area of Urumqi, Xinjiang, was used as input variables of support vector machine (SVM), decision tree, and integrated learning model (Adaboost and Bagging) for modeling and prediction. The experimental results show that Adaboost algorithm produces better classification results. For the te...

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

**A Practical Guide to Analyzing Time-Varying Associations between Physical Activity and Affect Using Multilevel Modeling.**

Authors: Kim J, Marcusson-Clavertz D, Togo F, Park H
Abstract
There is growing interest in within-person associations of objectively measured physical and physiological variables with psychological states in daily life. Here we provide a practical guide with SAS code of multilevel modeling for analyzing physical activity data obtained by accelerometer and self-report data from intensive and repeated measures using ecological momentary assessments (EMA). We review previous applications of EMA in research and clinical settings and the analytical tools that are useful for EMA research. We exemplify the analyses of EMA...

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

**Stability Analysis of Delayed Immune Response BCG Infection in Bladder Cancer Treatment Model by Stochastic Perturbations.**

We present a revised mathematical model of the immune response to Bacillus Calmette-Guérin (BCG) treatment of bladder cancer, optimized according to biological and clinical data accumulated during the last decade. The improved model accounts for cytotoxic T lymphocyte differentiation as an integral element of the delayed immune response, as well as the logistic growth terms for cancer cell proliferation. Three equilibria are demonstrated for the proposed model, which is assumed to be influenced by white noise stochastic perturbations that are directly proportional to the system state deviation from an equilibrium. S...

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

**Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".**

Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting".
Comput Math Methods Med. 2018;2018:2430438
Authors: Thomas J, Hepp T, Mayr A, Bischl B
Abstract
[This corrects the article DOI: 10.1155/2017/1421409.].
PMID: 30073029 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**Advanced Signal Processing for Cardiovascular and Neurological Diseases.**

Authors: Zheng D, Chen F, Li P, Peng SY
PMID: 30073030 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**Automatic Extraction of the Centerline of Corpus Callosum from Segmented Mid-Sagittal MR Images.**

Authors: Gao W, Chen X, Fu Y, Zhu M
Abstract
The centerline, as a simple and compact representation of object shape, has been used to analyze variations of the human callosal shape. However, automatic extraction of the callosal centerline remains a sophisticated problem. In this paper, we propose a method of automatic extraction of the callosal centerline from segmented mid-sagittal magnetic resonance (MR) images. A model-based point matching method is introduced to localize the anterior and posterior endpoints of the centerline. The model of the endpoint is constructed with a statistical descriptor of the shape co...

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

**A Note on the Risk of Infections Invading Unaffected Regions.**

We present two probabilistic models to estimate the risk of introducing infectious diseases into previously unaffected countries/regions by infective travellers. We analyse two distinct situations, one dealing with a directly transmitted infection (measles in Italy in 2017) and one dealing with a vector-borne infection (Zika virus in Rio de Janeiro, which may happen in the future). To calculate the risk in the first scenario, we used a simple, nonhomogeneous birth process. The second model proposed in this paper provides a way to calculate the probability that local mosquitoes become infected by the arrival of a single inf...

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

**The Dynamics and Optimal Control of a Hand-Foot-Mouth Disease Model.**

Authors: Tan H, Cao H
Abstract
We build and study the transmission dynamics of a hand-foot-mouth disease model with vaccination. The reproduction number is given, the existence of equilibria is obtained, and the global stability of disease-free equilibrium is proved by constructing the Lyapunov function. We also apply optimal control theory to the hand-foot-mouth disease model. The treatment and vaccination interventions are considered in the hand-foot-mouth disease model, and the optimal control strategies based on minimizing the cost of intervention and minimizing the number of the infected people are given. Nume...

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

**Exploration of Neural Activity under Cognitive Reappraisal Using Simultaneous EEG-fMRI Data and Kernel Canonical Correlation Analysis.**

Conclusions: The proposed EEG-fMRI fusion approach provides an effective way to study the neural activities of cognitive reappraisal with high spatiotemporal resolution. It is also suitable for other neuroimaging technologies using simultaneous EEG-fMRI data.
PMID: 30065778 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**True Random Number Generation from Bioelectrical and Physical Signals.**

This study presents the true random number generation from bioelectrical signals like EEG, EMG, and EOG and physical signals, such as blood volume pulse, GSR (Galvanic Skin Response), and respiration. The signals used in the random number generation were taken from BNCIHORIZON2020 databases. Random number generation was performed from fifteen different signals (four from EEG, EMG, and EOG and one from respiration, GSR, and blood volume pulse datasets). For this purpose, each signal was first normalized and then sampled. The sampling was achieved by using a nonperiodic and chaotic logistic map. Then, XOR postprocessing was ...

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

**A Review on the Extraction of Quantitative Retinal Microvascular Image Feature.**

Authors: Kipli K, Hoque ME, Lim LT, Mahmood MH, Sahari SK, Sapawi R, Rajaee N, Joseph A
Abstract
Digital image processing is one of the most widely used computer vision technologies in biomedical engineering. In the present modern ophthalmological practice, biomarkers analysis through digital fundus image processing analysis greatly contributes to vision science. This further facilitates developments in medical imaging, enabling this robust technology to attain extensive scopes in biomedical engineering platform. Various diagnostic techniques are used to analyze retinal microvasculature image to enable geometric fe...

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

**The Causality Research between Syndrome Elements by Attribute Topology.**

Conclusion: The experiment shows that causality by attribute topology (CAT) is feasible to describe the causality between TCM syndrome elements. Further research on possible knowledge discovery in TCM diagnostic data should be conducted through the analysis of the potential causal relationship between TCM diagnostic data and each syndrome element.
PMID: 30065781 [PubMed - in process] (Source: Computational and Mathematical Methods in Medicine)

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

**Comparative Screening Analytic Methods for Elderly of Blood Methylmercury Concentration between Two Analytical Institutions.**

Authors: Kim BG, Hong YS, Haraguchi K, Sakomoto M, Lim HJ, Seo JW, Kim YM
Abstract
Methylmercury is widely known to be a toxic substance in the human, especially a nervous system. However, it is difficult to accurately measure the amount of methylmercury in blood, and the form of methylmercury is variously presented. The purpose of study was to compare the total mercury and methylmercury measurements techniques and detection levels between analytical institutions in two countries using the same elderly human blood samples. Total mercury using gold amalgamation direct mercury analysis method (both) and methylmercury...

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

**Sex Determination of 3D Skull Based on a Novel Unsupervised Learning Method.**

Authors: Gao H, Geng G, Yang W
Abstract
In law enforcement investigation cases, sex determination from skull morphology is one of the important steps in establishing the identity of an individual from unidentified human skeleton. To our knowledge, existing studies of sex determination of the skull mostly utilize supervised learning methods to analyze and classify data and can have limitations when applied to actual cases with the absence of category labels in the skull samples or a large difference in the number of male and female samples of the skull. This paper proposes a novel approach which is based on an unsup...

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

**Variable Selection and Joint Estimation of Mean and Covariance Models with an Application to eQTL Data.**

Authors: Lee J, Kim S, Jhong JH, Koo JY
Abstract
In genomic data analysis, it is commonplace that underlying regulatory relationship over multiple genes is hardly ascertained due to unknown genetic complexity and epigenetic regulations. In this paper, we consider a joint mean and constant covariance model (JMCCM) that elucidates conditional dependent structures of genes with controlling for potential genotype perturbations. To this end, the modified Cholesky decomposition is utilized to parametrize entries of a precision matrix. The JMCCM maximizes the likelihood function to estimate parameters involved in the mode...

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

**Analysis of Exercise-Induced Periodic Breathing Using an Autoregressive Model and the Hilbert-Huang Transform.**

In this study, we propose a method for the quantitative analysis of measured ventilation signals from an exercise test. We used an autoregressive (AR) model to filter the breath-by-breath measurements of ventilation from exercise tests. Then, the signals before reaching the most ventilation were decomposed into intrinsic mode functions (IMF) by using the Hilbert-Huang transform (HHT). An IMF represents a simple oscillatory pattern which catches a part of original ventilation signal in different frequency band. For each component of IMF, we computed the number of peaks as the feature of its oscillatory pattern denoted by &D...

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

**A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs.**

Authors: Zhao H, Kuang L, Wang L, Xuan Z
Abstract
Recently, accumulating laboratorial studies have indicated that plenty of long noncoding RNAs (lncRNAs) play important roles in various biological processes and are associated with many complex human diseases. Therefore, developing powerful computational models to predict correlation between lncRNAs and diseases based on heterogeneous biological datasets will be important. However, there are few approaches to calculating and analyzing lncRNA-disease associations on the basis of information about miRNAs. In this article, a new computational method based on distance c...

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

**An Intelligent Parkinson's Disease Diagnostic System Based on a Chaotic Bacterial Foraging Optimization Enhanced Fuzzy KNN Approach.**

In this study, an enhanced fuzzy k-nearest neighbor (FKNN) method for the early detection of PD based upon vocal measurements was developed. The proposed method, an evolutionary instance-based learning approach termed CBFO-FKNN, was developed by coupling the chaotic bacterial foraging optimization with Gauss mutation (CBFO) approach with FKNN. The integration of the CBFO technique efficiently resolved the parameter tuning issues of the FKNN. The effectiveness of the proposed CBFO-FKNN was rigorously compared to those of the PD datasets in terms of classification accuracy, sensitivity, specificity, and AUC (area under the r...

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

**Sample Entropy Analysis of Noisy Atrial Electrograms during Atrial Fibrillation.**

Authors: Cirugeda-Roldán EM, Molina Picó A, Novák D, Cuesta-Frau D, Kremen V
Abstract
Most cardiac arrhythmias can be classified as atrial flutter, focal atrial tachycardia, or atrial fibrillation. They have been usually treated using drugs, but catheter ablation has proven more effective. This is an invasive method devised to destroy the heart tissue that disturbs correct heart rhythm. In order to accurately localise the focus of this disturbance, the acquisition and processing of atrial electrograms form the usual mapping technique. They can be single potentials, double potentials, or complex...

**Source: **Computational and Mathematical Methods in Medicine - July 18, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Wall Shear Stress Estimation of Thoracic Aortic Aneurysm Using Computational Fluid Dynamics.**

Authors: Febina J, Sikkandar MY, Sudharsan NM
Abstract
An attempt has been made to evaluate the effects of wall shear stress (WSS) on thoracic aortic aneurysm (TAA) using Computational Fluid Dynamics (CFD). Aneurysm is an excessive localized swelling of the arterial wall due to many physiological factors and it may rupture causing shock or sudden death. The existing imaging modalities such as MRI and CT assist in the visualization of anomalies in internal organs. However, the expected dynamic behaviour of arterial bulge under stressed condition can only be effectively evaluated through mathematical modelling. In th...

**Source: **Computational and Mathematical Methods in Medicine - July 18, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Information-Based Medicine in Glioma Patients: A Clinical Perspective.**

Authors: Senders JT, Harary M, Stopa BM, Staples P, Broekman MLD, Smith TR, Gormley WB, Arnaout O
Abstract
Glioma constitutes the most common type of primary brain tumor with a dismal survival, often measured in terms of months or years. The thin line between treatment effectiveness and patient harm underpins the importance of tailoring clinical management to the individual patient. Randomized trials have laid the foundation for many neuro-oncological guidelines. Despite this, their findings focus on group-level estimates. Given our current tools, we are limited in our ability to guide patients on what therapy is b...

**Source: **Computational and Mathematical Methods in Medicine - July 18, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Automatic Optic Disc Detection in Color Retinal Images by Local Feature Spectrum Analysis.**

Authors: Zhou W, Wu H, Wu C, Yu X, Yi Y
Abstract
The optic disc is a key anatomical structure in retinal images. The ability to detect optic discs in retinal images plays an important role in automated screening systems. Inspired by the fact that humans can find optic discs in retinal images by observing some local features, we propose a local feature spectrum analysis (LFSA) that eliminates the influence caused by the variable spatial positions of local features. In LFSA, a dictionary of local features is used to reconstruct new optic disc candidate images, and the utilization frequencies of every atom in the dict...

**Source: **Computational and Mathematical Methods in Medicine - July 18, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Structure Optimization for Large Gene Networks Based on Greedy Strategy.**

Authors: Gómez-Vela F, Rodriguez-Baena DS, Vázquez-Noguera JL
Abstract
In the last few years, gene networks have become one of most important tools to model biological processes. Among other utilities, these networks visually show biological relationships between genes. However, due to the large amount of the currently generated genetic data, their size has grown to the point of being unmanageable. To solve this problem, it is possible to use computational approaches, such as heuristics-based methods, to analyze and optimize gene network's structure by pruning irrelevant relationships. In this paper w...

**Source: **Computational and Mathematical Methods in Medicine - July 18, 2018 **Category: **Statistics **Tags: **Comput Math Methods Med **Source Type: **research

**Mobile Personal Health Monitoring for Automated Classification of Electrocardiogram Signals in Elderly.**

Authors: Mena LJ, Félix VG, Ochoa A, Ostos R, González E, Aspuru J, Velarde P, Maestre GE
Abstract
Mobile electrocardiogram (ECG) monitoring is an emerging area that has received increasing attention in recent years, but still real-life validation for elderly residing in low and middle-income countries is scarce. We developed a wearable ECG monitor that is integrated with a self-designed wireless sensor for ECG signal acquisition. It is used with a native purposely designed smartphone application, based on machine learning techniques, for automated classification of captured ECG beats from aged people...

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

**Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain.**

Authors: Xia J, Chen Y, Chen A, Chen Y
Abstract
The clinical assistant diagnosis has a high requirement for the visual effect of medical images. However, the low frequency subband coefficients obtained by the NSCT decomposition are not sparse, which is not conducive to maintaining the details of the source image. To solve these problems, a medical image fusion algorithm combined with sparse representation and pulse coupling neural network is proposed. First, the source image is decomposed into low and high frequency subband coefficients by NSCT transform. Secondly, the K singular value decomposition (K-SVD) method ...

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

**Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes.**

Authors: Zheng Y, Zhao X, Zhang X
Abstract
The Coxian phase-type models and the joint models of longitudinal and event time have been extensively used in the studies of medical outcome data. Coxian phase-type models have the finite-jump property while the joint models usually assume a continuous variation. The gap between continuity and discreteness makes the two models rarely used together. In this paper, a partition-based approach is proposed to jointly model the charge accumulation process and the time to discharge. The key construction of our new approach is a set of partition cells with their boundaries determ...

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

**Common Interferences Removal from Dense Multichannel EEG Using Independent Component Decomposition.**

Authors: Li W, Shen Y, Zhang J, Huang X, Chen Y, Ge Y
Abstract
To improve the spatial resolution, dense multichannel electroencephalogram with more than 32 leads has gained more and more applications. However, strong common interference will not only conceal the weak components generated from the specific isolated neural source, but also lead to severe spurious correlation between different brain regions, which results in great distortion on brain connectivity or brain network analysis. Starting from the fast independent component analysis algorithm, we first derive the mixing matrix of independent source component...

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