AIMC Topic: Outcome Assessment, Health Care

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Deep learning in mental health outcome research: a scoping review.

Translational psychiatry Apr 22, 2020
Mental illnesses, such as depression, are highly prevalent and have been shown to impact an individual's physical health. Recently, artificial intelligence (AI) methods have been introduced to assist mental health providers, including psychiatrists a...
Humans Artificial Intelligence Algorithms Mental Health Deep Learning Outcome Assessment, Health Care
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Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.

PloS one Apr 6, 2020
State-of-the-art machine learning (ML) artificial intelligence methods are increasingly leveraged in clinical predictive modeling to provide clinical decision support systems to physicians. Modern ML approaches such as artificial neural networks (ANN...
Aged, 80 and over Male Middle Aged Humans Retrospective Studies Logistic Models Area Under Curve Clinical Decision-Making Neural Networks, Computer Stroke Female Forecasting Supervised Machine Learning Aged Prognosis Outcome Assessment, Health Care
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Effects of Robot-Assisted Gait Training in Individuals with Spinal Cord Injury: A Meta-analysis.

BioMed research international Mar 21, 2020
BACKGROUND: To investigate the effects of robot-assisted gait training (RAGT) on spasticity and pain in people with spinal cord injury (SCI). . Four electronic databases (PubMed, Scopus, Medline, and Cochrane Central Register of Controlled Trials) we...
Robotics Humans Walking Lower Extremity Muscle Strength Gait Outcome Assessment, Health Care Randomized Controlled Trials as Topic Pain Spinal Cord Injuries Muscle Spasticity Non-Randomized Controlled Trials as Topic
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Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke.

Neurorehabilitation and neural repair Mar 20, 2020
. Accurate prediction of clinical impairment in upper-extremity motor function following therapy in chronic stroke patients is a difficult task for clinicians but is key in prescribing appropriate therapeutic strategies. Machine learning is a highly ...
Transcranial Magnetic Stimulation Male Upper Extremity Middle Aged Stroke Severity of Illness Index Magnetic Resonance Imaging Stroke Rehabilitation Neural Networks, Computer Exercise Therapy Evoked Potentials, Motor Support Vector Machine Chronic Disease Machine Learning Outcome Assessment, Health Care Motor Cortex Female Aged Humans
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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study.

BMC musculoskeletal disorders Mar 12, 2020
BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiolog...
Aged Aged, 80 and over Young Adult Adult Machine Learning Prospective Studies Female Reproducibility of Results Japan Humans Spinal Stenosis Male Outcome Assessment, Health Care Middle Aged Observer Variation Magnetic Resonance Imaging Reference Standards Lumbar Vertebrae
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Impact of initial flexor synergy pattern scores on improving upper extremity function in stroke patients treated with adjunct robotic rehabilitation: A randomized clinical trial.

Topics in stroke rehabilitation Mar 10, 2020
 Robot-assisted rehabilitation is an appealing strategy for patients after stroke, as it generates repetitive movements in a consistent, precise, and automated manner.  To identify patients who will benefit most from robotic rehabilitation for upper ...
Male Middle Aged Recovery of Function Robotics Paresis Upper Extremity Stroke Rehabilitation Stroke Outcome Assessment, Health Care Humans Female Aged
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Comparing machine and human reviewers to evaluate the risk of bias in randomized controlled trials.

Research synthesis methods Mar 3, 2020
BACKGROUND: Evidence from new health technologies is growing, along with demands for evidence to inform policy decisions, creating challenges in completing health technology assessments (HTAs)/systematic reviews (SRs) in a timely manner. Software can...
Sensitivity and Specificity Risk Assessment Health Policy Randomized Controlled Trials as Topic Humans Machine Learning Software Reproducibility of Results Risk Bias Outcome Assessment, Health Care Observer Variation Pattern Recognition, Automated
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Glucose outcomes of a learning-type artificial pancreas with an unannounced meal in type 1 diabetes.

Computer methods and programs in biomedicine Feb 26, 2020
BACKGROUND AND OBJECTIVES: Glycemic control with unannounced meals is the major challenge for artificial pancreas. In this study, we described the performance and safety of learning-type model predictive control (L-MPC) for artificial pancreas challe...
Meals Humans Machine Learning Insulin Infusion Systems Algorithms Adolescent Pancreas, Artificial Female Blood Glucose Young Adult Aged Diabetes Mellitus, Type 1 Adult Outcome Assessment, Health Care Male Middle Aged
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The application of unsupervised deep learning in predictive models using electronic health records.

BMC medical research methodology Feb 26, 2020
BACKGROUND: The main goal of this study is to explore the use of features representing patient-level electronic health record (EHR) data, generated by the unsupervised deep learning algorithm autoencoder, in predictive modeling. Since autoencoder fea...
Humans Electronic Health Records Reproducibility of Results Hospitalization Algorithms Prognosis Deep Learning Logistic Models Outcome Assessment, Health Care
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Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan.

BMJ open Feb 25, 2020
OBJECTIVES: Current mortality prediction models used in the intensive care unit (ICU) have a limited role for specific diseases such as influenza, and we aimed to establish an explainable machine learning (ML) model for predicting mortality in critic...
Cross-Sectional Studies Male Middle Aged Hospital Mortality Influenza, Human Outcome Assessment, Health Care Models, Theoretical Retrospective Studies Taiwan Critical Illness Humans Female Machine Learning Adult
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