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Computational and Mathematical Methods in Medicine

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https://www.readbyqxmd.com/read/28546826/ipf-lasso-integrative-l1-penalized-regression-with-penalty-factors-for-prediction-based-on-multi-omics-data
#1
Anne-Laure Boulesteix, Riccardo De Bin, Xiaoyu Jiang, Mathias Fuchs
As modern biotechnologies advance, it has become increasingly frequent that different modalities of high-dimensional molecular data (termed "omics" data in this paper), such as gene expression, methylation, and copy number, are collected from the same patient cohort to predict the clinical outcome. While prediction based on omics data has been widely studied in the last fifteen years, little has been done in the statistical literature on the integration of multiple omics modalities to select a subset of variables for prediction, which is a critical task in personalized medicine...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28529537/a-web-based-tool-for-automatic-data-collection-curation-and-visualization-of-complex-healthcare-survey-studies-including-social-network-analysis
#2
José Alberto Benítez, José Emilio Labra, Enedina Quiroga, Vicente Martín, Isaías García, Pilar Marqués-Sánchez, Carmen Benavides
There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well as a series of measures determining the alcohol abuse risk or personal situation and perception using a number of questionnaires like AUDIT, FAS, KIDSCREEN, and others, it is possible to gain insight into the current situation of a given individual regarding his/her consumption behavior. But this analysis, in order to be achieved, requires the use of tools that can ease the process of questionnaire creation, data gathering, curation and representation, and later analysis and visualization to the user...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28523074/cuffless-blood-pressure-estimation-based-on-data-oriented-continuous-health-monitoring-system
#3
Kengo Atomi, Haruki Kawanaka, Md Shoaib Bhuiyan, Koji Oguri
Measuring blood pressure continuously helps monitor health and also prevent lifestyle related diseases to extend the expectancy of healthy life. Blood pressure, which is nowadays used for monitoring patient, is one of the most useful indexes for prevention of lifestyle related diseases such as hypertension. However, continuously monitoring the blood pressure is unrealistic because of discomfort caused by the tightening of a cuff belt. We have earlier researched the data-oriented blood pressure estimation without using a cuff...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28512511/automated-detection-of-red-lesions-using-superpixel-multichannel-multifeature
#4
Wei Zhou, Chengdong Wu, Dali Chen, Zhenzhu Wang, Yugen Yi, Wenyou Du
Red lesions can be regarded as one of the earliest lesions in diabetic retinopathy (DR) and automatic detection of red lesions plays a critical role in diabetic retinopathy diagnosis. In this paper, a novel superpixel Multichannel Multifeature (MCMF) classification approach is proposed for red lesion detection. In this paper, firstly, a new candidate extraction method based on superpixel is proposed. Then, these candidates are characterized by multichannel features, as well as the contextual feature. Next, FDA classifier is introduced to classify the red lesions among the candidates...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28487748/node-structured-integrative-gaussian-graphical-model-guided-by-pathway-information
#5
SungHwan Kim, Jae-Hwan Jhong, JungJun Lee, Ja-Yong Koo, ByungYong Lee, SungWon Han
Up to date, many biological pathways related to cancer have been extensively applied thanks to outputs of burgeoning biomedical research. This leads to a new technical challenge of exploring and validating biological pathways that can characterize transcriptomic mechanisms across different disease subtypes. In pursuit of accommodating multiple studies, the joint Gaussian graphical model was previously proposed to incorporate nonzero edge effects. However, this model is inevitably dependent on post hoc analysis in order to confirm biological significance...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28487747/a-predictive-model-for-guillain-barr%C3%A3-syndrome-based-on-single-learning-algorithms
#6
Juana Canul-Reich, Juan Frausto-Solís, José Hernández-Torruco
Background. Guillain-Barré Syndrome (GBS) is a potentially fatal autoimmune neurological disorder. The severity varies among the four main subtypes, named as Acute Inflammatory Demyelinating Polyneuropathy (AIDP), Acute Motor Axonal Neuropathy (AMAN), Acute Motor Sensory Axonal Neuropathy (AMSAN), and Miller-Fisher Syndrome (MF). A proper subtype identification may help to promptly carry out adequate treatment in patients. Method. We perform experiments with 15 single classifiers in two scenarios: four subtypes' classification and One versus All (OvA) classification...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28487746/depression-disorder-classification-of-fmri-data-using-sparse-low-rank-functional-brain-network-and-graph-based-features
#7
Xin Wang, Yanshuang Ren, Wensheng Zhang
Study of functional brain network (FBN) based on functional magnetic resonance imaging (fMRI) has proved successful in depression disorder classification. One popular approach to construct FBN is Pearson correlation. However, it only captures pairwise relationship between brain regions, while it ignores the influence of other brain regions. Another common issue existing in many depression disorder classification methods is applying only single local feature extracted from constructed FBN. To address these issues, we develop a new method to classify fMRI data of patients with depression and healthy controls...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28487745/machine-learning-applications-in-medical-image-analysis
#8
EDITORIAL
Ayman El-Baz, Georgy Gimel'farb, Kenji Suzuki
No abstract text is available yet for this article.
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28479930/erratum-to-a-model-for-spheroid-versus-monolayer-response-of-sk-n-sh-neuroblastoma-cells-to-treatment-with-15-deoxy-pgj2
#9
Dorothy I Wallace, Ann Dunham, Paula X Chen, Michelle Chen, Milan Huynh, Evan Rheingold, Olivia Prosper
[This corrects the article DOI: 10.1155/2016/3628124.].
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28473868/a-novel-fusion-framework-based-on-adaptive-pcnn-in-nsct-domain-for-whole-body-pet-and-ct-images
#10
Zhiying Song, Huiyan Jiang, Siqi Li
The PET and CT fusion images, combining the anatomical and functional information, have important clinical meaning. This paper proposes a novel fusion framework based on adaptive pulse-coupled neural networks (PCNNs) in nonsubsampled contourlet transform (NSCT) domain for fusing whole-body PET and CT images. Firstly, the gradient average of each pixel is chosen as the linking strength of PCNN model to implement self-adaptability. Secondly, to improve the fusion performance, the novel sum-modified Laplacian (NSML) and energy of edge (EOE) are extracted as the external inputs of the PCNN models for low- and high-pass subbands, respectively...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28473867/curvature-induced-spatial-ordering-of-composition-in-lipid-membranes
#11
Shimrit Katz, Sefi Givli
Phase segregation of membranal components, such as proteins, lipids, and cholesterols, leads to the formation of aggregates or domains that are rich in specific constituents. This process is important in the interaction of the cell with its surroundings and in determining the cell's behavior and fate. Motivated by published experiments on curvature-modulated phase separation in lipid membranes, we formulate a mathematical model aiming at studying the spatial ordering of composition in a two-component biomembrane that is subjected to a prescribed (imposed) geometry...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28473866/increase-of-short-term-heart-rate-variability-induced-by-blood-pressure-measurements-during-ambulatory-blood-pressure-monitoring
#12
Attila Frigy, Annamária Magdás, Victor-Dan Moga, Ioana Georgiana Coteț, Miklós Kozlovszky, László Szilágyi
Objective. The possible effect of blood pressure measurements per se on heart rate variability (HRV) was studied in the setting of concomitant ambulatory blood pressure monitoring (ABPM) and Holter ECG monitoring (HM). Methods. In 25 hypertensive patients (14 women and 11 men, mean age: 58.1 years), 24-hour combined ABPM and HM were performed. For every blood pressure measurement, 2-minute ECG segments (before, during, and after measurement) were analyzed to obtain time domain parameters of HRV: SDNN and rMSSD...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28473865/artificial-neural-networks-in-image-processing-for-early-detection-of-breast-cancer
#13
REVIEW
M M Mehdy, P Y Ng, E F Shair, N I Md Saleh, C Gomes
Medical imaging techniques have widely been in use in the diagnosis and detection of breast cancer. The drawback of applying these techniques is the large time consumption in the manual diagnosis of each image pattern by a professional radiologist. Automated classifiers could substantially upgrade the diagnosis process, in terms of both accuracy and time requirement by distinguishing benign and malignant patterns automatically. Neural network (NN) plays an important role in this respect, especially in the application of breast cancer detection...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28465714/research-on-techniques-of-multifeatures-extraction-for-tongue-image-and-its-application-in-retrieval
#14
Liyan Chen, Beizhan Wang, Zhihong Zhang, Fan Lin, Yihan Ma
Tongue diagnosis is one of the important methods in the Chinese traditional medicine. Doctors can judge the disease's situation by observing patient's tongue color and texture. This paper presents a novel approach to extract color and texture features of tongue images. First, we use improved GLA (Generalized Lloyd Algorithm) to extract the main color of tongue image. Considering that the color feature cannot fully express tongue image information, the paper analyzes tongue edge's texture features and proposes an algorithm to extract them...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28465713/second-order-regression-based-mr-image-upsampling
#15
Jing Hu, Xi Wu, Jiliu Zhou
The spatial resolution of magnetic resonance imaging (MRI) is often limited due to several reasons, including a short data acquisition time. Several advanced interpolation-based image upsampling algorithms have been developed to increase the resolution of MR images. These methods estimate the voxel intensity in a high-resolution (HR) image by a weighted combination of voxels in the original low-resolution (LR) MR image. As these methods fall into the zero-order point estimation framework, they only include a local constant approximation of the image voxel and hence cannot fully represent the underlying image structure(s)...
2017: Computational and Mathematical Methods in Medicine
https://www.readbyqxmd.com/read/28421127/using-agent-based-models-to-develop-public-policy-about-food-behaviours-future-directions-and-recommendations
#16
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
#17
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
#18
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
#19
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
#20
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
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