AIMC Topic: Sex Factors

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Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features.

Sensors (Basel, Switzerland) Dec 3, 2019
The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of op...
Humans Machine Learning Female Tomography, Optical Coherence Retina Sex Factors Multiple Sclerosis Normal Distribution Optic Neuritis Adult Male Case-Control Studies Diagnosis, Computer-Assisted Support Vector Machine Area Under Curve
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Unsupervised neural network for evaluating the ability of the SF-36 instrument to differentiate individuals.

Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit Nov 25, 2019
BACKGROUND: Health-related quality of life (HRQoL) and well-being refer to the positive, subjective state that is contrary to illness. HRQoL instruments include some common questionnaires, which may often be understood differently depending on the le...
Age Factors Iran Sex Factors Male Middle Aged Quality of Life Health Surveys Health Status Neural Networks, Computer Humans Machine Learning Algorithms Female Aged Adult
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Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

PLoS biology Oct 18, 2019
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is routinely used, plasma lipids are rarely investigated at the level of individual molecules. We aimed at predicting different measures of obesity based on...
Finland Body Fat Distribution Sphingomyelins Lipid Metabolism Sex Factors Waist Circumference Lipidomics Humans Waist-Hip Ratio Machine Learning Biomarkers Female Male Cohort Studies Body Mass Index Obesity Models, Statistical Adipose Tissue
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Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

NeuroImage Oct 11, 2019
There is significant interest in the development and application of deep neural networks (DNNs) to neuroimaging data. A growing literature suggests that DNNs outperform their classical counterparts in a variety of neuroimaging applications, yet there...
Female Aged Young Adult Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Brain Sex Factors Psychomotor Performance Image Interpretation, Computer-Assisted Datasets as Topic Connectome Deep Learning Age Factors Magnetic Resonance Imaging Intelligence Biological Specimen Banks
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Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis.

Human brain mapping Oct 1, 2019
Previous structural and functional neuroimaging studies have implicated distributed brain regions and networks in depression. However, there are no robust imaging biomarkers that are specific to depression, which may be due to clinical heterogeneity ...
Humans Multimodal Imaging Sex Factors Neuroimaging Depressive Disorder Anxiety Machine Learning Case-Control Studies Female Functional Neuroimaging Adult Depression Male Age Factors Middle Aged Magnetic Resonance Imaging
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A deep learning model for pediatric patient risk stratification.

The American journal of managed care Oct 1, 2019
OBJECTIVES: Current models for patient risk prediction rely on practitioner expertise and domain knowledge. This study presents a deep learning model-a type of machine learning that does not require human inputs-to analyze complex clinical and financ...
Accountable Care Organizations Reproducibility of Results Risk Factors Health Resources Risk Assessment Deep Learning Child Socioeconomic Factors Residence Characteristics Age Factors Health Services Sex Factors Humans Neural Networks, Computer Prospective Studies
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An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Chest Sep 19, 2019
BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and valida...
Middle Aged Risk Assessment Lung Serum Globulins Cohort Studies Electrocardiography Longitudinal Studies Age Factors Cough Forced Expiratory Volume Spirometry Cigarette Smoking Triglycerides Alkaline Phosphatase Serum Albumin Algorithms Leukocyte Count Female Vital Capacity Adult Bronchodilator Agents Pulmonary Disease, Chronic Obstructive Hematocrit Male Humans Dyspnea Aging Machine Learning Sex Factors Body Height Alcohol Drinking
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Increase Trichomonas vaginalis detection based on urine routine analysis through a machine learning approach.

Scientific reports Aug 19, 2019
Trichomonas vaginalis (T. vaginalis) detection remains an unsolved problem in using of automated instruments for urinalysis. The study proposes a machine learning (ML)-based strategy to increase the detection rate of T. vaginalis in urine. On the bas...
Humans Machine Learning Retrospective Studies Trichomonas vaginalis Urinalysis Trichomonas Infections ROC Curve Models, Theoretical Female Area Under Curve Adult Sex Factors Male Cost-Benefit Analysis Middle Aged Pattern Recognition, Automated Diagnosis, Computer-Assisted
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Demographic, psychological, behavioral, and cognitive correlates of BMI in youth: Findings from the Adolescent Brain Cognitive Development (ABCD) study.

Psychological medicine Jul 10, 2019
BACKGROUND: Previous research has implicated demographic, psychological, behavioral, and cognitive variables in the onset and maintenance of pediatric overweight/obesity. No adequately-powered study has simultaneously modeled these variables to asses...
Multivariate Analysis Humans Health Status Disparities Machine Learning Demography Female Adolescent Behavior Risk Factors Adolescent Obesity Male Body Weight Child Sex Factors United States Linear Models Cognition Overweight Body Mass Index
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Predicting Academic Performance of Students Using a Hybrid Data Mining Approach.

Journal of medical systems Apr 30, 2019
Data mining offers strong techniques for different sectors involving education. In the education field the research is developing rapidly increasing due to huge number of student's information which can be used to invent valuable pattern pertaining l...
Decision Trees Humans Data Mining Neural Networks, Computer Sex Factors India Behavior Universities Academic Performance Support Vector Machine Interatrial Block
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