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Disability Evaluation

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Efficacy and Safety of Chinese Herbal Medicine in Patients with Acute Intracerebral Hemorrhage: Protocol for a Randomized Placebo-Controlled Double-Blinded Multicenter Trial.

Cerebrovascular diseases (Basel, Switzerland) 39250890
INTRODUCTION: The popular traditional Chinese medicine (TCM) compound FYTF-919 (Zhong Feng Xing Nao prescription) may improve outcome from acute intracerebral hemorrhage (ICH) through effects on brain edema, hematoma absorption, and the immune system...
Acute Disease Adult Aged Cerebral Hemorrhage China Disability Evaluation Double-Blind Method Drugs, Chinese Herbal Female Functional Status Humans Male Middle Aged Multicenter Studies as Topic Prospective Studies Randomized Controlled Trials as Topic Recovery of Function Time Factors Treatment Outcome
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Construction of disability risk prediction model for the elderly based on machine learning.

Scientific reports 40346175
The study aimed to develop a predictive model using machine learning algorithms, providing healthcare professionals with a novel tool for assessing disability risk in older adults. Data from the 2018 and 2020 waves of the China Health and Retirement ...
Aged Aged, 80 and over Algorithms China Disability Evaluation Female Geriatric Assessment Humans Longitudinal Studies Machine Learning Male Persons with Disabilities Risk Assessment Risk Factors
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Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association 38570287
BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to an...
Adult Aged Artificial Intelligence Cross-Sectional Studies Disability Evaluation Female Humans Intervertebral Disc Degeneration Low Back Pain Lumbar Vertebrae Magnetic Resonance Imaging Male Middle Aged Pain Measurement Prospective Studies Severity of Illness Index
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Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.

Geriatrics & gerontology international 38943538
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
Aged Aged, 80 and over Disability Evaluation Female Humans Japan Locomotion Machine Learning Male Middle Aged Mobility Limitation Osteoarthritis Osteoporosis Risk Assessment Risk Factors ROC Curve Surveys and Questionnaires Syndrome
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Evaluation of machine learning-based classification of clinical impairment and prediction of clinical worsening in multiple sclerosis.

Journal of neurology 38909341
BACKGROUND: Robust predictive models of clinical impairment and worsening in multiple sclerosis (MS) are needed to identify patients at risk and optimize treatment strategies.
Adult Brain Cohort Studies Disability Evaluation Disease Progression Female Follow-Up Studies Humans Machine Learning Magnetic Resonance Imaging Male Middle Aged Multiple Sclerosis
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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis.

Medicina (Kaunas, Lithuania) 40005305
: Recent research has focused on exploring the relationships between various factors associated with headaches and understanding their impact on individuals' psychological states. Utilizing statistical methods and machine learning models, these studi...
Adult Aged Anxiety Depression Disability Evaluation Female Headache Humans Machine Learning Male Middle Aged Persons with Disabilities Quality of Life Surveys and Questionnaires
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Effects of an artificial intelligence-based exercise program on pain intensity and disability in patients with neck pain compared with group exercise therapy: A cohort study.

Journal of bodywork and movement therapies 40325632
OBJECTIVES: This study compares the effects of an artificial intelligence app-based exercise program with group exercise therapy on pain intensity and neck-related disability in patients with neck pain.
Adult Artificial Intelligence Cohort Studies Disability Evaluation Exercise Therapy Female Humans Male Middle Aged Mobile Applications Neck Pain Pain Measurement
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Machine Learning-based World Health Organization Disability Assessment Schedule for persons with Parkinson's disease.

Parkinsonism & related disorders 39933317
INTRODUCTION: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) is a well-known measure to assess disability in persons with Parkinson's disease (PD). The purpose of this study was to develop a short form of the WHODAS 2.0...
Aged Disability Evaluation Female Humans Machine Learning Male Middle Aged Parkinson Disease Reproducibility of Results World Health Organization
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Risk prediction of functional disability among middle-aged and older adults with arthritis: A nationwide cross-sectional study using interpretable machine learning.

International journal of orthopaedic and trauma nursing 39922110
BACKGROUND: Arthritis is a common chronic disease among middle-aged and older adults and is strongly related to functional decline.
Aged Arthritis China Cross-Sectional Studies Disability Evaluation Female Humans Longitudinal Studies Machine Learning Male Middle Aged Persons with Disabilities Risk Assessment
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Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association 40254242
OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic stroke patient remains challenging, as it is impossible to observe the outcomes for both with and without successful recanalization in the same individ...
Aged Aged, 80 and over Clinical Decision-Making Decision Support Techniques Disability Evaluation Female Functional Status Humans Ischemic Stroke Machine Learning Male Middle Aged Patient Selection Precision Medicine Predictive Value of Tests Recovery of Function Retrospective Studies Risk Assessment Risk Factors Thrombectomy Thrombolytic Therapy Time Factors Treatment Outcome
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