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Functional Status

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Decision Tree Algorithm Identifies Stroke Patients Likely Discharge Home After Rehabilitation Using Functional and Environmental Predictors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 33545520
BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home discharge was not scientifically proven. There are limited studies on the application of the decision tree algorithm with various functional and envir...
Aged Aged, 80 and over Databases, Factual Decision Support Techniques Decision Trees Disability Evaluation Environment Female Functional Status Humans Machine Learning Male Middle Aged Motor Activity Patient Discharge Predictive Value of Tests Recovery of Function Stroke Stroke Rehabilitation Time Factors Treatment Outcome
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Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

JAMA oncology 33475685
Colorectal Neoplasms Documentation Electronic Health Records Functional Status Humans Natural Language Processing
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Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer-Reply.

JAMA oncology 33475678
Colorectal Neoplasms Documentation Electronic Health Records Functional Status Humans Natural Language Processing
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Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

JAMA oncology 33475677
Colorectal Neoplasms Documentation Electronic Health Records Functional Status Humans Natural Language Processing
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Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 33895428
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabilitation of stroke patients. An exoskeleton robot, named BEAR-H1, is designed to help stroke patients with walking disabilities.
Adult China Exoskeleton Device Female Functional Status Gait Gait Analysis Humans Lower Extremity Male Middle Aged Mobility Limitation Motor Activity Prospective Studies Recovery of Function Robotics Single-Blind Method Stroke Stroke Rehabilitation Time Factors Treatment Outcome Walk Test
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Effects of a Soft Robotic Hand for Hand Rehabilitation in Chronic Stroke Survivors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 33895427
OBJECTIVES: Soft robotic hands are proposed for stroke rehabilitation in terms of their high compliance and low inherent stiffness. We investigated the clinical efficacy of a soft robotic hand that could actively flex and extend the fingers in chroni...
Adult Aged Biomechanical Phenomena Disability Evaluation Electromyography Equipment Design Exoskeleton Device Female Functional Status Hand Hand Strength Humans Male Middle Aged Motor Activity Recovery of Function Robotics Stroke Stroke Rehabilitation Time Factors Treatment Outcome
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Prediction of Motor Function in Stroke Patients Using Machine Learning Algorithm: Development of Practical Models.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 34022582
BACKGROUND: Machine learning (ML) techniques are being increasingly adopted in the medical field.
Aged Decision Support Techniques Deep Learning Diagnosis, Computer-Assisted Extremities Female Functional Status Humans Logistic Models Male Middle Aged Motor Activity Predictive Value of Tests Prognosis Recovery of Function Reproducibility of Results Retrospective Studies Stroke Time Factors
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A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.

Clinical nutrition (Edinburgh, Scotland) 34358843
BACKGROUND AND AIMS: Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This s...
Adult Aged China Cluster Analysis Diagnosis, Computer-Assisted Feasibility Studies Female Functional Status Humans Logistic Models Machine Learning Male Malnutrition Middle Aged Neoplasms Nutrition Assessment Nutritional Status Quality of Life Severity of Illness Index Workflow
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Large Vessel Occlusion Prediction in the Emergency Department with National Institutes of Health Stroke Scale Components: A Machine Learning Approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 34403842
OBJECTIVE: To determine the feasibility of using a machine learning algorithm to screen for large vessel occlusions (LVO) in the Emergency Department (ED).
Cerebrovascular Disorders Disability Evaluation Emergency Service, Hospital Feasibility Studies Female Functional Status Humans Machine Learning Male Middle Aged Predictive Value of Tests Prognosis Retrospective Studies
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Effect of robotic-assisted gait training on functional status, walking and quality of life in complete spinal cord injury.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation 34356038
The purpose of this study was to investigate the effect of robotic-assisted gait training (RAGT) on functional status and the quality of life in patients with subacute complete spinal cord injury (SCI). Thirty-seven patients with complete SCI were in...
Functional Status Gait Humans Quality of Life Robotics Spinal Cord Injuries Walking
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