AIMC Topic: Case-Control Studies

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Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.

Psychiatry research Jul 5, 2015
Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major depression (MD). Here, we use machine learning for the first time to ad...
Algorithms Biomarkers Female Adult Sensitivity and Specificity Humans Machine Learning Reference Values Image Interpretation, Computer-Assisted Nerve Net Temporal Lobe Echo-Planar Imaging Guilt Male Depressive Disorder, Major Case-Control Studies Diagnosis, Computer-Assisted Magnetic Resonance Imaging
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"Tele-rounding" with a remotely controlled mobile robot in the neonatal intensive care unit.

Journal of telemedicine and telecare Jun 26, 2015
OBJECTIVE: To investigate the feasibility of 'tele-rounding' in the neonatal intensive care.
Hospital Costs Intensive Care Units, Neonatal Intensive Care, Neonatal Humans Case-Control Studies Prospective Studies Female Length of Stay Infant, Newborn Robotics Male Feasibility Studies Remote Consultation
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Identifying neuroanatomical signatures of anorexia nervosa: a multivariate machine learning approach.

Psychological medicine May 20, 2015
BACKGROUND: There are currently no neuroanatomical biomarkers of anorexia nervosa (AN) available to make clinical inferences at an individual subject level. We present results of a multivariate machine learning (ML) approach utilizing structural neur...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Probability Neuroimaging Diagnostic and Statistical Manual of Mental Disorders Anorexia Nervosa Young Adult Adult Sensitivity and Specificity Case-Control Studies Humans Adolescent Machine Learning Algorithms Brain Female
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Short-term clinical outcomes of robot-assisted intersphincteric resection and low rectal resection with double-stapling technique for cancer: a case-matched study.

International journal of colorectal disease May 16, 2015
Anal Canal Surgical Stapling Case-Control Studies Treatment Outcome Robotics Rectal Neoplasms Digestive System Surgical Procedures Humans Female Aged Male
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Application of an artificial neural network model for selection of potential lung cancer biomarkers.

Journal of breath research May 6, 2015
Determination of volatile organic compounds (VOCs) in the exhaled breath samples of lung cancer patients and healthy controls was carried out by SPME-GC/MS (solid phase microextraction- gas chromatography combined with mass spectrometry) analyses. In...
Humans Neural Networks, Computer Female Biomarkers, Tumor Male Middle Aged Case-Control Studies Lung Neoplasms Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Smoking Adenocarcinoma Solid Phase Microextraction Carcinoma, Non-Small-Cell Lung Breath Tests Mass Spectrometry Exhalation Gas Chromatography-Mass Spectrometry Small Cell Lung Carcinoma Volatile Organic Compounds
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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...
Middle Aged Discriminant Analysis Humans Nerve Net Case-Control Studies Head Movements Support Vector Machine Cerebellum Female Magnetic Resonance Imaging Aged Early Diagnosis Parkinson Disease Sensitivity and Specificity Cerebral Cortex Male Connectome
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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...
Treatment Outcome Follow-Up Studies Female Humans Robotics Prospective Studies Aged Physical Education and Training Postural Balance Male Locomotion Stroke Rehabilitation Stroke Middle Aged Paresis Gait Disorders, Neurologic Case-Control Studies Physical Therapy Modalities
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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...
Unconsciousness Accidents, Traffic Skull Fractures Humans Multivariate Analysis Injury Severity Score Female Vomiting Male ROC Curve Machine Learning Case-Control Studies Logistic Models Algorithms Child, Preschool Models, Theoretical Databases, Factual Child Brain Injuries Retrospective Studies Population Surveillance Tomography, X-Ray Computed
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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...
Humans Adult Male Case-Control Studies Support Vector Machine Fuzzy Logic Cluster Analysis Chronic Disease Electroencephalography Signal Processing, Computer-Assisted Alcoholism Motor Cortex
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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 ...
Sleep Apnea Syndromes Nonlinear Dynamics Wavelet Analysis Polysomnography Middle Aged Case-Control Studies Support Vector Machine Electroencephalography Humans Signal Processing, Computer-Assisted Adult Male
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