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Personalized Digital Care Program Allocation for Older Adults: Reinforcement Learning-Based Simulation Study
0
Zitationen
4
Autoren
2026
Jahr
Abstract
Our findings emphasize the importance of personalization in digital care. We plan to refine and validate the model through a publicly funded AI care program for community-dwelling, low-income older adults living alone in the Republic of Korea. RL offers a scalable and effective approach to advance precision digital care delivery and support future innovations in aging services.
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