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Machine learning in geriatric care: a scoping review of models using multidimensional assessment data
2
Zitationen
6
Autoren
2025
Jahr
Abstract
ML models using multidimensional geriatric assessment data show promise for predicting health outcomes in older adults. However, methodological and reporting limitations hinder clinical translation. Future research should focus on external validation, interpretability, and integration into clinical workflows to ensure models are robust, ethical, and applicable in real-world aged care settings.
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