AIMC Topic: Severity of Illness Index

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Flexion synergy overshadows flexor spasticity during reaching in chronic moderate to severe hemiparetic stroke.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology May 12, 2017
OBJECTIVE: Pharmaceutical intervention targets arm flexor spasticity with an often-unsuccessful goal of improving function. Flexion synergy is a related motor impairment that may be inadvertently neglected. Here, flexor spasticity and flexion synergy...
Humans Prospective Studies Female Aged Cross-Sectional Studies Male Stroke Arm Range of Motion, Articular Movement Paresis Muscle Spasticity Middle Aged Severity of Illness Index Chronic Disease Robotics Electromyography
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Prediction of the severity of obstructive sleep apnea by anthropometric features via support vector machine.

PloS one May 4, 2017
To develop an applicable prediction for obstructive sleep apnea (OSA) is still a challenge in clinical practice. We apply a modern machine learning method, the support vector machine to establish a predicting model for the severity of OSA. The suppor...
Severity of Illness Index Humans Models, Theoretical Female Support Vector Machine Adult Sleep Apnea, Obstructive Male Anthropometry Middle Aged
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Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.

Artificial intelligence in medicine Apr 27, 2017
BACKGROUND AND OBJECTIVES: Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE fram...
Area Under Curve Supervised Machine Learning Data Mining Observer Variation Learning Curve Humans Phenotype Electronic Health Records Reproducibility of Results Severity of Illness Index Time Factors
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Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.

Artificial intelligence in medicine Mar 31, 2017
OBJECTIVE: Parkinson's disease (PD) is currently incurable, however proper treatment can ease the symptoms and significantly improve the quality of life of patients. Since PD is a chronic disease, its efficient monitoring and management is very impor...
Antiparkinson Agents Hypokinesia Motor Activity Upper Extremity Treatment Outcome Dyskinesia, Drug-Induced Middle Aged Health Status Severity of Illness Index Parkinson Disease Diagnosis, Computer-Assisted Predictive Value of Tests Time Factors Humans Feasibility Studies Image Processing, Computer-Assisted Machine Learning Retrospective Studies Female Sweden Aged Male
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Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification.

The international journal of cardiovascular imaging Mar 20, 2017
The aim of this study was to analyze the whole temporal profiles of the segmental deformation curves of the left ventricle (LV) and describe their interrelations to obtain more detailed information concerning global LV function in order to be able to...
Principal Component Analysis Myocardial Infarction Image Interpretation, Computer-Assisted Observer Variation Automation Case-Control Studies Diagnosis, Computer-Assisted Time Factors Magnetic Resonance Imaging Predictive Value of Tests Pattern Recognition, Automated Echocardiography, Doppler, Color Myocardial Contraction Humans Machine Learning Reproducibility of Results Biomechanical Phenomena Ventricular Function, Left Severity of Illness Index
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Aging, frailty and complex networks.

Biogerontology Mar 2, 2017
When people age their mortality rate increases exponentially, following Gompertz's law. Even so, individuals do not die from old age. Instead, they accumulate age-related illnesses and conditions and so become increasingly vulnerable to death from va...
Computer Simulation Aged Aged, 80 and over Young Adult Adult Aging Humans Neural Networks, Computer Frail Elderly Cause of Death Models, Biological Stochastic Processes Child, Preschool Information Theory Child Middle Aged Health Status Infant Age Factors Severity of Illness Index Frailty Adolescent Time Factors
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Prognosticating Functional Outcome After Intracerebral Hemorrhage: The ICHOP Score.

World neurosurgery Feb 27, 2017
BACKGROUND: The morbidity, mortality, and monetary cost associated with intracerebral hemorrhage (ICH) is devastatingly high. Several scoring systems have been proposed to prognosticate outcomes after ICH, although the original ICH Score is still the...
Follow-Up Studies Cerebral Hemorrhage Recovery of Function Humans Aged, 80 and over Machine Learning Male Prospective Studies Middle Aged Prognosis Severity of Illness Index Female Treatment Outcome Aged
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The effectiveness of Robot-Assisted Gait Training versus conventional therapy on mobility in severely disabled progressIve MultiplE sclerosis patients (RAGTIME): study protocol for a randomized controlled trial.

Trials Feb 27, 2017
BACKGROUND: Gait and mobility impairments affect the quality of life (QoL) of patients with progressive multiple sclerosis (MS). Robot-assisted gait training (RAGT) is an effective rehabilitative treatment but evidence of its superiority compared to ...
Italy Walking Gait Exercise Therapy Exercise Tolerance Muscle Fatigue Mobility Limitation Clinical Protocols Multiple Sclerosis, Chronic Progressive Humans Research Design Recovery of Function Robotics Postural Balance Time Factors Disability Evaluation Biomechanical Phenomena Biomarkers Persons with Disabilities Single-Blind Method Female Male Treatment Outcome Aged Middle Aged Neuronal Plasticity Young Adult Severity of Illness Index Muscle, Skeletal Adult Surveys and Questionnaires Adolescent
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Sensory tractography and robot-quantified proprioception in hemiparetic children with perinatal stroke.

Human brain mapping Feb 8, 2017
Perinatal stroke causes most hemiparetic cerebral palsy, resulting in lifelong disability. We have demonstrated the ability of robots to quantify sensory dysfunction in hemiparetic children but the relationship between such deficits and sensory tract...
Humans Female Anisotropy Somatosensory Disorders Kinesthesis Nerve Fibers, Myelinated Male Magnetic Resonance Imaging Severity of Illness Index Robotics Adolescent Stroke Child Analysis of Variance Image Processing, Computer-Assisted Diffusion Tensor Imaging Paresis
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Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study.

Behavioural neurology Jan 31, 2017
Subjects with Alzheimer's disease (AD) show loss of cognitive functions and change in behavioral and functional state affecting the quality of their daily life and that of their families and caregivers. A neuropsychological assessment plays a crucial...
Humans Machine Learning Severity of Illness Index Alzheimer Disease Neuropsychological Tests
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