AIMC Topic: Nervous System Diseases

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Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway.

Journal of neurology Jul 8, 2019
We perform classification, ranking and mapping of body sway parameters from static posturography data of patients using recent machine-learning and data-mining techniques. Body sway is measured in 293 individuals with the clinical diagnoses of acute ...
Humans Machine Learning Cohort Studies Postural Balance Female Data Mining Nervous System Diseases Adult Male Diagnosis, Computer-Assisted
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Using Health Chatbots for Behavior Change: A Mapping Study.

Journal of medical systems Apr 4, 2019
This study conducts a mapping study to survey the landscape of health chatbots along three research questions: What illnesses are chatbots tackling? What patient competences are chatbots aimed at? Which chatbot technical enablers are of most interest...
Behavior, Addictive Nutrition Disorders Metabolic Diseases Nervous System Diseases Text Messaging Mental Health Health Status Communication Humans User-Computer Interface Machine Learning Internet Telemedicine Health Behavior
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Automatic diagnosis of neurological diseases using MEG signals with a deep neural network.

Scientific reports Mar 25, 2019
The application of deep learning to neuroimaging big data will help develop computer-aided diagnosis of neurological diseases. Pattern recognition using deep learning can extract features of neuroimaging signals unique to various neurological disease...
Image Processing, Computer-Assisted Computational Biology Brain Mapping Diagnosis, Differential Epilepsy Nervous System Diseases Magnetoencephalography Reproducibility of Results Sensitivity and Specificity Male Case-Control Studies Humans Neural Networks, Computer Female
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A machine learning based model for Out of Hospital cardiac arrest outcome classification and sensitivity analysis.

Resuscitation Mar 15, 2019
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) affects nearly 400,000 people each year in the United States of which only 10% survive. Using data from the Cardiac Arrest Registry to Enhance Survival (CARES), and machine learning (ML) techniques, w...
Latent Class Analysis Emergency Medical Services Coronary Angiography Registries Humans Machine Learning Prognosis Cardiopulmonary Resuscitation Out-of-Hospital Cardiac Arrest Chicago Outcome Assessment, Health Care Survival Analysis Nervous System Diseases Hypothermia, Induced
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Myopic control of neural dynamics.

PLoS computational biology Mar 11, 2019
Manipulating the dynamics of neural systems through targeted stimulation is a frontier of research and clinical neuroscience; however, the control schemes considered for neural systems are mismatched for the unique needs of manipulating neural dynami...
Humans Nonlinear Dynamics Nervous System Diseases Neural Networks, Computer Algorithms Decision Making
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Automatic real-time gait event detection in children using deep neural networks.

PloS one Jan 31, 2019
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force plate strikes are present, the events can be automatically detected. Otherwise, annotation of gait eve...
Humans Adolescent Child, Preschool Child Young Adult Gait Cerebral Palsy Neural Networks, Computer Adult Nervous System Diseases Algorithms Biomechanical Phenomena Developmental Disabilities Female Male Foot
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Effectiveness of robotics in improving upper extremity functions among people with neurological dysfunction: a systematic review.

The International journal of neuroscience Nov 22, 2018
PURPOSE: The primary focus of this review was to find out the effectiveness of robotics in improving upper extremity functions among people with neurological problems in the arena of physical rehabilitation.
Recovery of Function Robotics Outcome Assessment, Health Care Nervous System Diseases Upper Extremity Neurological Rehabilitation Humans
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Structural neuroimaging as clinical predictor: A review of machine learning applications.

NeuroImage. Clinical Aug 10, 2018
In this paper, we provide an extensive overview of machine learning techniques applied to structural magnetic resonance imaging (MRI) data to obtain clinical classifiers. We specifically address practical problems commonly encountered in the literatu...
Predictive Value of Tests Humans Machine Learning Neuroimaging Brain Nervous System Diseases
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Machine learning in neurology: what neurologists can learn from machines and vice versa.

Journal of neurology Aug 2, 2018
Artificial intelligence is increasingly becoming a part of everyday life. This raises the question whether clinical neurology can benefit from these novel methods to increase diagnostic accuracy. Several recent studies have used machine learning clas...
Nervous System Diseases Neurology Neurologists Machine Learning Learning Humans Diagnosis, Computer-Assisted
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Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Adrenal Cortex Hormones Middle Aged Arthritis Female Humans Adult Gastrointestinal Diseases Brazil Lung Diseases Nervous System Diseases Retrospective Studies Creatinine Heart Diseases Disease Progression Granulomatosis with Polyangiitis Acute Kidney Injury Cross-Sectional Studies Delayed Diagnosis Skin Diseases Male Eye Diseases Proteinuria
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