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Case-Control Studies

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A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Artificial intelligence in medicine Sep 20, 2017
Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early identification are at the heart of the increasing survival rates. To motivate population participation, non-invasive, accurate, scalable and cost-effecti...
Support Vector Machine Early Detection of Cancer Predictive Value of Tests Spectrometry, Fluorescence Colonic Polyps Adenomatous Polyps Humans Reproducibility of Results Colorectal Neoplasms Biomarkers, Tumor Case-Control Studies
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Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

NeuroImage. Clinical Aug 30, 2017
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imagi...
Functional Neuroimaging Adolescent Child Image Processing, Computer-Assisted Brain Mapping Female Young Adult Adult Male Case-Control Studies Datasets as Topic Rest Neural Pathways Humans Neural Networks, Computer Machine Learning Autism Spectrum Disorder Brain
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Detection of lung cancer in exhaled breath with an electronic nose using support vector machine analysis.

Journal of breath research Aug 21, 2017
Lung cancer is one of the most common malignancies and has a low 5-year survival rate. There are no cheap, simple and widely available screening methods for the early diagnostics of lung cancer. The aim of this study was to determine whether analysis...
Neoplasm Staging Healthy Volunteers Breath Tests Exhalation Electronic Nose Male Middle Aged Case-Control Studies Lung Neoplasms Support Vector Machine Aged Adult Pulmonary Disease, Chronic Obstructive Humans Female
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Applying machine learning to identify autistic adults using imitation: An exploratory study.

PloS one Aug 16, 2017
Autism spectrum condition (ASC) is primarily diagnosed by behavioural symptoms including social, sensory and motor aspects. Although stereotyped, repetitive motor movements are considered during diagnosis, quantitative measures that identify kinemati...
Biomechanical Phenomena Case-Control Studies Movement Imitative Behavior Quantitative Trait, Heritable Humans Machine Learning Autism Spectrum Disorder Adult
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Measuring Functional Arm Movement after Stroke Using a Single Wrist-Worn Sensor and Machine Learning.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 4, 2017
BACKGROUND AND PURPOSE: Trials of restorative therapies after stroke and clinical rehabilitation require relevant and objective efficacy end points; real-world upper extremity (UE) functional use is an attractive candidate. We present a novel, inexpe...
Female Reproducibility of Results Aged Adult Biomechanical Phenomena Male Humans Machine Learning Acceleration Video Recording Fitness Trackers Actigraphy Movement Equipment Design Upper Extremity Middle Aged Signal Processing, Computer-Assisted Case-Control Studies Stroke Time Factors Feasibility Studies Health Status Activities of Daily Living Predictive Value of Tests
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Prediction Effects of Personal, Psychosocial, and Occupational Risk Factors on Low Back Pain Severity Using Artificial Neural Networks Approach in Industrial Workers.

Journal of manipulative and physiological therapeutics Jul 21, 2017
OBJECTIVES: This study aimed to provide an empirical model of predicting low back pain (LBP) by considering the occupational, personal, and psychological risk factor interactions in workers population employed in industrial units using an artificial ...
Psychology Low Back Pain Industry Life Style Occupational Diseases Humans Neural Networks, Computer Female Case-Control Studies Predictive Value of Tests Disability Evaluation Iran Occupational Health Risk Factors Adult Male Middle Aged Severity of Illness Index
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Antiphospholipid Antibodies and Heart Valve Disease in Systemic Lupus Erythematosus.

The American journal of the medical sciences Jul 20, 2017
Evaluation of antiphospholipid antibodies (aPL) and correlation with heart valve abnormalities among patients with systemic lupus erythematosus (SLE). Nested case-control study was conducted with 70 patients with SLE selected from a longitudinal data...
Aortic Valve Stenosis Echocardiography Tricuspid Valve Insufficiency Middle Aged Multivariate Analysis Lupus Erythematosus, Systemic Humans Case-Control Studies Odds Ratio Mitral Valve Insufficiency Female Adolescent Heart Valve Prosthesis Aortic Valve Insufficiency Logistic Models Young Adult Antibodies, Antiphospholipid Heart Valve Diseases Mitral Valve Stenosis Adult Male
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Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

PloS one Jul 6, 2017
Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psychiatric disorders. Yet, little is known regarding the neural mechanisms underlying different developmental trajectories of positive mood and energy r...
Humans Machine Learning Female Male Case-Control Studies Child Longitudinal Studies Magnetic Resonance Imaging Prefrontal Cortex Adolescent Bipolar Disorder Temporal Lobe Parahippocampal Gyrus Image Interpretation, Computer-Assisted Affect Neuroimaging Cerebral Cortex Parietal Lobe
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Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network.

Journal of healthcare engineering Jun 21, 2017
. Error-free diagnosis of Alzheimer's disease (AD) from healthy control (HC) patients at an early stage of the disease is a major concern, because information about the condition's severity and developmental risks present allows AD sufferer to take p...
Wavelet Analysis Female Dementia Reproducibility of Results Humans Male Principal Component Analysis Image Processing, Computer-Assisted Aged Neural Networks, Computer Middle Aged Alzheimer Disease Magnetic Resonance Imaging Aged, 80 and over Algorithms Severity of Illness Index Pattern Recognition, Automated Sensitivity and Specificity Brain Case-Control Studies Diagnosis, Computer-Assisted
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Machine-Learned Data Structures of Lipid Marker Serum Concentrations in Multiple Sclerosis Patients Differ from Those in Healthy Subjects.

International journal of molecular sciences Jun 7, 2017
Lipid metabolism has been suggested to be a major pathophysiological mechanism of multiple sclerosis (MS). With the increasing knowledge about lipid signaling, acquired data become increasingly complex making bioinformatics necessary in lipid researc...
Case-Control Studies Ceramides Lysophospholipids Lipids Lipid Metabolism Humans Multiple Sclerosis Machine Learning Informatics Biomarkers Eicosanoids
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