DATASET: Data-Driven Clinical Decision Trees and Generative Topographic Mapping to Guide Stroke Rehabilitation Program Allocation

DATASET: Data-Driven Clinical Decision Trees and Generative Topographic Mapping to Guide Stroke Rehabilitation Program Allocation

<p dir="ltr">A simulated and expert-annotated dataset of 700 stroke patients characterized by 49 demographic, clinical, and functional variables, we modeled real-world heterogeneity across seven rehabilitation programs ranging from home-based to high-intensity hospital-based care. Ea...

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Auteur principal: Dimitrios-Sokratis Komaris (10266358) (author)
Publié: 2025
Sujets:
Clinical sciences not elsewhere classified
Biomechanical engineering
Rehabilitation engineering
Machine learning not elsewhere classified
Stroke Rehabilitation Studies
Decision-support systems
Classification and regression trees (CART)
rehabilitation planning
Clinical Decision Tree Algorithm
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