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Computational and Mathematical Methods in Medicine

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https://www.readbyqxmd.com/read/28421127/using-agent-based-models-to-develop-public-policy-about-food-behaviours-future-directions-and-recommendations
#1
REVIEW
Philippe J Giabbanelli, Rik Crutzen
Most adults are overweight or obese in many western countries. Several population-level interventions on the physical, economical, political, or sociocultural environment have thus attempted to achieve a healthier weight. These interventions have involved different weight-related behaviours, such as food behaviours. Agent-based models (ABMs) have the potential to help policymakers evaluate food behaviour interventions from a systems perspective. However, fully realizing this potential involves a complex procedure starting with obtaining and analyzing data to populate the model and eventually identifying more efficient cross-sectoral policies...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28421126/femoral-neck-strain-during-maximal-contraction-of-isolated-hip-spanning-muscle-groups
#2
Saulo Martelli
The aim of the study was to investigate femoral neck strain during maximal isometric contraction of the hip-spanning muscles. The musculoskeletal and the femur finite-element models from an elderly white woman were taken from earlier studies. The hip-spanning muscles were grouped by function in six hip-spanning muscle groups. The peak hip and knee moments in the model were matched to corresponding published measurements of the hip and knee moments during maximal isometric exercises about the hip and the knee in elderly participants...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28421125/automatic-microaneurysms-detection-based-on-multifeature-fusion-dictionary-learning
#3
Wei Zhou, Chengdong Wu, Dali Chen, Zhenzhu Wang, Yugen Yi, Wenyou Du
Recently, microaneurysm (MA) detection has attracted a lot of attention in the medical image processing community. Since MAs can be seen as the earliest lesions in diabetic retinopathy, their detection plays a critical role in diabetic retinopathy diagnosis. In this paper, we propose a novel MA detection approach named multifeature fusion dictionary learning (MFFDL). The proposed method consists of four steps: preprocessing, candidate extraction, multifeature dictionary learning, and classification. The novelty of our proposed approach lies in incorporating the semantic relationships among multifeatures and dictionary learning into a unified framework for automatic detection of MAs...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28408946/computational-and-mathematical-methods-in-cardiovascular-diseases
#4
EDITORIAL
Elena G Tolkacheva, Xiaopeng Zhao, Sharon Zlochiver, Yoichiro Mori
No abstract text is available yet for this article.
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28373893/comparison-of-baseline-wander-removal-techniques-considering-the-preservation-of-st-changes-in-the-ischemic-ecg-a-simulation-study
#5
Gustavo Lenis, Nicolas Pilia, Axel Loewe, Walther H W Schulze, Olaf Dössel
The most important ECG marker for the diagnosis of ischemia or infarction is a change in the ST segment. Baseline wander is a typical artifact that corrupts the recorded ECG and can hinder the correct diagnosis of such diseases. For the purpose of finding the best suited filter for the removal of baseline wander, the ground truth about the ST change prior to the corrupting artifact and the subsequent filtering process is needed. In order to create the desired reference, we used a large simulation study that allowed us to represent the ischemic heart at a multiscale level from the cardiac myocyte to the surface ECG...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28352290/topological-measurements-of-dwi-tractography-for-alzheimer-s-disease-detection
#6
Nicola Amoroso, Alfonso Monaco, Sabina Tangaro, Alzheimer's Disease Neuroimaging Initiative
Neurodegenerative diseases affect brain morphology and connectivity, making complex networks a suitable tool to investigate and model their effects. Because of its stereotyped pattern Alzheimer's disease (AD) is a natural benchmark for the study of novel methodologies. Several studies have investigated the network centrality and segregation changes induced by AD, especially with a single subject approach. In this work, a holistic perspective based on the application of multiplex network concepts is introduced...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28348638/cardioprotection-effects-of-sevoflurane-by-regulating-the-pathway-of-neuroactive-ligand-receptor-interaction-in-patients-undergoing-coronary-artery-bypass-graft-surgery
#7
Jinquan Wang, Jian Cheng, Chao Zhang, Xiaojun Li
This study was designed to identify attractor modules and further reveal the potential biological processes involving in sevoflurane-induced anesthesia in patients treated with coronary artery bypass graft (CABG) surgery. Microarray profile data (ID: E-GEOD-4386) on atrial samples obtained from patients receiving anesthetic gas sevoflurane prior to and following CABG procedure were downloaded from EMBL-EBI database for further analysis. Protein-protein interaction (PPI) networks of baseline and sevoflurane groups were inferred and reweighted according to Spearman correlation coefficient (SCC), followed by systematic modules inference using clique-merging approach...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28348637/automated-classification-of-severity-in-cardiac-dyssynchrony-merging-clinical-data-and-mechanical-descriptors
#8
Alejandro Santos-Díaz, Raquel Valdés-Cristerna, Enrique Vallejo, Salvador Hernández, Luis Jiménez-Ángeles
Cardiac resynchronization therapy (CRT) improves functional classification among patients with left ventricle malfunction and ventricular electric conduction disorders. However, a high percentage of subjects under CRT (20%-30%) do not show any improvement. Nonetheless the presence of mechanical contraction dyssynchrony in ventricles has been proposed as an indicator of CRT response. This work proposes an automated classification model of severity in ventricular contraction dyssynchrony. The model includes clinical data such as left ventricular ejection fraction (LVEF), QRS and P-R intervals, and the 3 most significant factors extracted from the factor analysis of dynamic structures applied to a set of equilibrium radionuclide angiography images representing the mechanical behavior of cardiac contraction...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28321264/fast-parabola-detection-using-estimation-of-distribution-algorithms
#9
Jose de Jesus Guerrero-Turrubiates, Ivan Cruz-Aceves, Sergio Ledesma, Juan Manuel Sierra-Hernandez, Jonas Velasco, Juan Gabriel Avina-Cervantes, Maria Susana Avila-Garcia, Horacio Rostro-Gonzalez, Roberto Rojas-Laguna
This paper presents a new method based on Estimation of Distribution Algorithms (EDAs) to detect parabolic shapes in synthetic and medical images. The method computes a virtual parabola using three random boundary pixels to calculate the constant values of the generic parabola equation. The resulting parabola is evaluated by matching it with the parabolic shape in the input image by using the Hadamard product as fitness function. This proposed method is evaluated in terms of computational time and compared with two implementations of the generalized Hough transform and RANSAC method for parabola detection...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28316639/feature-extraction-and-classification-of-ehg-between-pregnancy-and-labour-group-using-hilbert-huang-transform-and-extreme-learning-machine
#10
Lili Chen, Yaru Hao
Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) related to uterine contraction is a noninvasive, real-time, and automatic novel technology which can be used to detect, diagnose, or predict PTB. This paper presents a method for feature extraction and classification of EHG between pregnancy and labour group, based on Hilbert-Huang transform (HHT) and extreme learning machine (ELM)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28316638/sentiment-analysis-on-tweets-about-diabetes-an-aspect-level-approach
#11
María Del Pilar Salas-Zárate, José Medina-Moreira, Katty Lagos-Ortiz, Harry Luna-Aveiga, Miguel Ángel Rodríguez-García, Rafael Valencia-García
In recent years, some methods of sentiment analysis have been developed for the health domain; however, the diabetes domain has not been explored yet. In addition, there is a lack of approaches that analyze the positive or negative orientation of each aspect contained in a document (a review, a piece of news, and a tweet, among others). Based on this understanding, we propose an aspect-level sentiment analysis method based on ontologies in the diabetes domain. The sentiment of the aspects is calculated by considering the words around the aspect which are obtained through N-gram methods (N-gram after, N-gram before, and N-gram around)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28316637/noise-attenuation-estimation-for-maximum-length-sequences-in-deconvolution-process-of-auditory-evoked-potentials
#12
Xian Peng, Yun'er Chen, Tao Wang, Lei Ding, Xiaodan Tan
The use of maximum length sequence (m-sequence) has been found beneficial for recovering both linear and nonlinear components at rapid stimulation. Since m-sequence is fully characterized by a primitive polynomial of different orders, the selection of polynomial order can be problematic in practice. Usually, the m-sequence is repetitively delivered in a looped fashion. Ensemble averaging is carried out as the first step and followed by the cross-correlation analysis to deconvolve linear/nonlinear responses...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28293274/optimally-repeatable-kinetic-model-variant-for-myocardial-blood-flow-measurements-with-82-rb-pet
#13
Adrian F Ocneanu, Robert A deKemp, Jennifer M Renaud, Andy Adler, Rob S B Beanlands, Ran Klein
Purpose. Myocardial blood flow (MBF) quantification with (82)Rb positron emission tomography (PET) is gaining clinical adoption, but improvements in precision are desired. This study aims to identify analysis variants producing the most repeatable MBF measures. Methods. 12 volunteers underwent same-day test-retest rest and dipyridamole stress imaging with dynamic (82)Rb PET, from which MBF was quantified using 1-tissue-compartment kinetic model variants: (1) blood-pool versus uptake region sampled input function (Blood/Uptake-ROI), (2) dual spillover correction (SOC-On/Off), (3) right blood correction (RBC-On/Off), (4) arterial blood transit delay (Delay-On/Off), and (5) distribution volume (DV) constraint (Global/Regional-DV)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28293273/mathematical-modelling-of-immune-parameters-in-the-evolution-of-severe-dengue
#14
M K Premaratne, S S N Perera, G N Malavige, Saroj Jayasinghe
Aims. Predicting the risk of severity at an early stage in an individual patient will be invaluable in preventing morbidity and mortality caused by dengue. We hypothesized that such predictions are possible by analyzing multiple parameters using mathematical modeling. Methodology. Data from 11 adult patients with dengue fever (DF) and 25 patients with dengue hemorrhagic fever (DHF) were analyzed. Multivariate statistical analysis was performed to study the characteristics and interactions of parameters using dengue NS1 antigen levels, dengue IgG antibody levels, platelet counts, and lymphocyte counts...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28286543/a-psychometric-tool-for-a-virtual-reality-rehabilitation-approach-for-dyslexia
#15
Elisa Pedroli, Patrizia Padula, Andrea Guala, Maria Teresa Meardi, Giuseppe Riva, Giovanni Albani
Dyslexia is a chronic problem that affects the life of subjects and often influences their life choices. The standard rehabilitation methods all use a classic paper and pencil training format but these exercises are boring and demanding for children who may have difficulty in completing the treatments. It is important to develop a new rehabilitation program that would help children in a funny and engaging way. A Wii-based game was developed to demonstrate that a short treatment with an action video game, rather than phonological or orthographic training, may improve the reading abilities in dyslexic children...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28280519/3d-kidney-segmentation-from-abdominal-images-using-spatial-appearance-models
#16
Fahmi Khalifa, Ahmed Soliman, Adel Elmaghraby, Georgy Gimel'farb, Ayman El-Baz
Kidney segmentation is an essential step in developing any noninvasive computer-assisted diagnostic system for renal function assessment. This paper introduces an automated framework for 3D kidney segmentation from dynamic computed tomography (CT) images that integrates discriminative features from the current and prior CT appearances into a random forest classification approach. To account for CT images' inhomogeneities, we employ discriminate features that are extracted from a higher-order spatial model and an adaptive shape model in addition to the first-order CT appearance...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28280518/modeling-the-parasitic-filariasis-spread-by-mosquito-in-periodic-environment
#17
Yan Cheng, Xiaoyun Wang, Qiuhui Pan, Mingfeng He
In this paper a mosquito-borne parasitic infection model in periodic environment is considered. Threshold parameter R0 is given by linear next infection operator, which determined the dynamic behaviors of system. We obtain that when R0 < 1, the disease-free periodic solution is globally asymptotically stable and when R0 > 1 by Poincaré map we obtain that disease is uniformly persistent. Numerical simulations support the results and sensitivity analysis shows effects of parameters on R0, which provided references to seek optimal measures to control the transmission of lymphatic filariasis...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28280517/mixed-total-variation-and-l-1-regularization-method-for-optical-tomography-based-on-radiative-transfer-equation
#18
Jinping Tang, Bo Han, Weimin Han, Bo Bi, Li Li
Optical tomography is an emerging and important molecular imaging modality. The aim of optical tomography is to reconstruct optical properties of human tissues. In this paper, we focus on reconstructing the absorption coefficient based on the radiative transfer equation (RTE). It is an ill-posed parameter identification problem. Regularization methods have been broadly applied to reconstruct the optical coefficients, such as the total variation (TV) regularization and the L(1) regularization. In order to better reconstruct the piecewise constant and sparse coefficient distributions, TV and L(1) norms are combined as the regularization...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28270858/complementary-keratoconus-indices-based-on-topographical-interpretation-of-biomechanical-waveform-parameters-a-supplement-to-established-keratoconus-indices
#19
Susanne Goebels, Timo Eppig, Stefan Wagenpfeil, Alan Cayless, Berthold Seitz, Achim Langenbucher
Purpose. To build new models with the Ocular Response Analyzer (ORA) waveform parameters to create new indices analogous to established topographic keratoconus indices. Method. Biomechanical, tomographic, and topographic measurements of 505 eyes from the Homburger Keratoconus Centre were included. Thirty-seven waveform parameters (WF) were derived from the biomechanical measurement with the ORA. Area under curve (ROC, receiver operating characteristic) was used to quantify the screening performance. A logistic regression analysis was used to create two new keratoconus prediction models based on these waveform parameters to resample the clinically established keratoconus indices from Pentacam and TMS-5...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28270857/automatic-lumen-segmentation-in-intravascular-optical-coherence-tomography-images-using-level-set
#20
Yihui Cao, Kang Cheng, Xianjing Qin, Qinye Yin, Jianan Li, Rui Zhu, Wei Zhao
Automatic lumen segmentation from intravascular optical coherence tomography (IVOCT) images is an important and fundamental work for diagnosis and treatment of coronary artery disease. However, it is a very challenging task due to irregular lumen caused by unstable plaque and bifurcation vessel, guide wire shadow, and blood artifacts. To address these problems, this paper presents a novel automatic level set based segmentation algorithm which is very competent for irregular lumen challenge. Before applying the level set model, a narrow image smooth filter is proposed to reduce the effect of artifacts and prevent the leakage of level set meanwhile...
2017: Computational and Mathematical Methods in Medicine
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