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Interpretable machine learning approach for optimizing hospice care predictions using health assessment data
0
Zitationen
5
Autoren
2025
Jahr
Abstract
ML models were developed using health assessment data to explore their potential in guiding the selection of hospice care services for end-of-life patients. The findings demonstrate a data-driven approach that may support more informed and personalized clinical decisions, while representing an initial proof of concept for integrating ML into hospice care planning.
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