AIMC Topic: Outcome Assessment, Health Care

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Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.

NeuroImage. Clinical May 28, 2019
Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state ...
Basal Ganglia Humans Cerebral Cortex Machine Learning Placebos Connectome Female Chronic Pain Adult Male Middle Aged Prefrontal Cortex Magnetic Resonance Imaging Single-Blind Method Outcome Assessment, Health Care Acupuncture Therapy Low Back Pain
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Identifying Children With Clinical Language Disorder: An Application of Machine-Learning Classification.

Journal of learning disabilities May 7, 2019
In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children ...
Humans Machine Learning Early Diagnosis Early Medical Intervention Language Development Disorders Language Therapy Female Male Child, Preschool Outcome Assessment, Health Care
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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...
Emergency Medical Services Coronary Angiography Registries Outcome Assessment, Health Care Humans Machine Learning Prognosis Latent Class Analysis Cardiopulmonary Resuscitation Survival Analysis Out-of-Hospital Cardiac Arrest Nervous System Diseases Chicago Hypothermia, Induced
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Robot-assisted gait training is not superior to intensive overground walking in multiple sclerosis with severe disability (the RAGTIME study): A randomized controlled trial.

Multiple sclerosis (Houndmills, Basingstoke, England) Mar 4, 2019
BACKGROUND: Rehabilitation may attenuate the impact on mobility of patients with progressive multiple sclerosis (MS) and severe gait disabilities.
Female Gait Disorders, Neurologic Adult Multiple Sclerosis, Chronic Progressive Male Exercise Therapy Middle Aged Outcome Assessment, Health Care Walking Speed Follow-Up Studies Robotics Single-Blind Method Walking Humans
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Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

European journal of radiology Feb 19, 2019
PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.
Magnetic Resonance Imaging Lumbar Vertebrae Aged, 80 and over Spinal Stenosis Male Outcome Assessment, Health Care Middle Aged Humans Cohort Studies Observer Variation Machine Learning Female Algorithms Reference Standards Reproducibility of Results Aged
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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Journal of clinical epidemiology Feb 11, 2019
OBJECTIVES: The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
Predictive Value of Tests Area Under Curve Supervised Machine Learning Outcome Assessment, Health Care Sensitivity and Specificity Logistic Models Models, Theoretical Humans Algorithms
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Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication.

Journal of substance abuse treatment Jan 30, 2019
BACKGROUND AND OBJECTIVES: Clinical staff providing addiction treatment predict patient outcome poorly. Prognoses based on linear statistics are rarely replicated. Addiction is a complex non-linear behavior. Incorporating non-linear models, Machine L...
Algorithms Adult Pilot Projects Surveys and Questionnaires Outcome Assessment, Health Care Alcoholism Cognitive Behavioral Therapy Behavior, Addictive Humans Machine Learning
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Effects of robot-assisted gait training in patients with Parkinson's disease: study protocol for a randomized controlled trial.

Trials Jan 7, 2019
BACKGROUND: Robot-assisted gait training (RAGT) was developed to restore gait function by promoting neuroplasticity through repetitive locomotor training and has been utilized in gait training. However, contradictory outcomes of RAGT have been report...
Single-Blind Method Male Walking Speed Humans Parkinson Disease Gait Prospective Studies Randomized Controlled Trials as Topic Exercise Therapy Female Robotics Outcome Assessment, Health Care
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Machine learning methods for leveraging baseline covariate information to improve the efficiency of clinical trials.

Statistics in medicine Nov 25, 2018
Clinical trials are widely considered the gold standard for treatment evaluation, and they can be highly expensive in terms of time and money. The efficiency of clinical trials can be improved by incorporating information from baseline covariates tha...
Computer Simulation Fibrinolytic Agents Humans Efficiency Stroke Machine Learning Models, Statistical Outcome Assessment, Health Care Research Design Randomized Controlled Trials as Topic Tissue Plasminogen Activator
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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.
Nervous System Diseases Upper Extremity Humans Neurological Rehabilitation Recovery of Function Robotics Outcome Assessment, Health Care
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