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Case-Control Studies

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Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.

PloS one Apr 17, 2015
Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimaging techniques in the effective and accurate diagnosis of psychiatric or neurological disorders. In the present study, we investigated the whole-brain...
Parkinson Disease Male Humans Connectome Discriminant Analysis Middle Aged Nerve Net Female Case-Control Studies Cerebellum Head Movements Aged Support Vector Machine Early Diagnosis Sensitivity and Specificity Magnetic Resonance Imaging Cerebral Cortex
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Effects of Innovative WALKBOT Robotic-Assisted Locomotor Training on Balance and Gait Recovery in Hemiparetic Stroke: A Prospective, Randomized, Experimenter Blinded Case Control Study With a Four-Week Follow-Up.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 2, 2015
The present clinical investigation was to ascertain whether the effects of WALKBOT-assisted locomotor training (WLT) on balance, gait, and motor recovery were superior or similar to the conventional locomotor training (CLT) in patients with hemiparet...
Robotics Postural Balance Stroke Locomotion Paresis Middle Aged Case-Control Studies Treatment Outcome Follow-Up Studies Physical Therapy Modalities Physical Education and Training Stroke Rehabilitation Gait Disorders, Neurologic Humans Prospective Studies Female Aged Male
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Humans Vomiting Unconsciousness Child ROC Curve Population Surveillance Tomography, X-Ray Computed Logistic Models Accidents, Traffic Female Models, Theoretical Machine Learning Skull Fractures Brain Injuries Male Algorithms Multivariate Analysis Case-Control Studies Databases, Factual Injury Severity Score Child, Preschool Retrospective Studies
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Support vector machine and fuzzy C-mean clustering-based comparative evaluation of changes in motor cortex electroencephalogram under chronic alcoholism.

Medical & biological engineering & computing Mar 13, 2015
In this study, the magnitude and spatial distribution of frequency spectrum in the resting electroencephalogram (EEG) were examined to address the problem of detecting alcoholism in the cerebral motor cortex. The EEG signals were recorded from chroni...
Chronic Disease Electroencephalography Signal Processing, Computer-Assisted Alcoholism Motor Cortex Male Case-Control Studies Support Vector Machine Fuzzy Logic Cluster Analysis Humans Adult
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Automatic detection of sleep apnea based on EEG detrended fluctuation analysis and support vector machine.

Journal of clinical monitoring and computing Feb 8, 2015
Sleep apnea syndrome (SAS) is prevalent in individuals and recently, there are many studies focus on using simple and efficient methods for SAS detection instead of polysomnography. However, not much work has been done on using nonlinear behavior of ...
Electroencephalography Signal Processing, Computer-Assisted Sleep Apnea Syndromes Nonlinear Dynamics Wavelet Analysis Male Middle Aged Case-Control Studies Support Vector Machine Polysomnography Humans Adult
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Multifactor dimensionality reduction analysis to elucidate the cross-talk between one-carbon and xenobiotic metabolic pathways in multi-disease models.

Molecular biology reports Feb 4, 2015
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence susceptibility for wide spectrum of diseases. The current study was aimed to explore gene-gene interactions among these two metabolic pathways in four disea...
Transferases Multifactor Dimensionality Reduction Xenobiotics Sex Factors Datasets as Topic Gene Expression Regulation Epistasis, Genetic Oxidoreductases Metabolic Networks and Pathways Factor Analysis, Statistical Case-Control Studies Lupus Erythematosus, Systemic Genetic Predisposition to Disease Humans Coronary Artery Disease Polymorphism, Single Nucleotide Female Carbon Breast Neoplasms Parkinson Disease Male
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Validation of electronic health record phenotyping of bipolar disorder cases and controls.

The American journal of psychiatry Dec 12, 2014
OBJECTIVE: The study was designed to validate use of electronic health records (EHRs) for diagnosing bipolar disorder and classifying control subjects.
Algorithms Phenotype Electronic Health Records Female Reproducibility of Results Humans Natural Language Processing Middle Aged Aged Case-Control Studies Adult Bipolar Disorder Sensitivity and Specificity Cohort Studies Male Predictive Value of Tests
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Exploring the dynamics of design fluency in children with and without ADHD using artificial neural networks.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence Dec 11, 2014
The neuropsychology of attention deficit/hyperactivity disorder (ADHD) has been extensively studied, with a general focus on global performance measures of executive function. In this study, we compared how global (i.e., endpoint) versus process (i.e...
Executive Function Humans Neural Networks, Computer Case-Control Studies Female Child Male Cognition Neuropsychological Tests Attention Deficit Disorder with Hyperactivity
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Machine learning algorithms and forced oscillation measurements to categorise the airway obstruction severity in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Nov 22, 2014
The purpose of this study was to develop automatic classifiers to simplify the clinical use and increase the accuracy of the forced oscillation technique (FOT) in the categorisation of airway obstruction level in patients with chronic obstructive pul...
Humans Artificial Intelligence Algorithms Pulmonary Disease, Chronic Obstructive Severity of Illness Index Case-Control Studies
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Oxidative Phosphorylation Pathway in Ankylosing Spondylitis: Multi-Omics Analysis and Machine Learning.

International journal of rheumatic diseases May 1, 2025
INTRODUCTION: Ankylosing spondylitis (AS) is a chronic inflammatory disease affecting the axial skeleton, characterized by immune microenvironment dysregulation and elevated cytokines like TNF-α and IL-17. Mitochondrial oxidative phosphorylation (OXP...
Adult Male Middle Aged Leukocytes, Mononuclear Gene Expression Profiling Humans Machine Learning Female Multiomics Signal Transduction Mitochondria Oxidative Phosphorylation Transcriptome Spondylitis, Ankylosing Case-Control Studies Single-Cell Analysis RNA-Seq Gene Regulatory Networks
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