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Mapping the landscape of machine learning in chronic disease management: A comprehensive bibliometric study
2
Zitationen
10
Autoren
2025
Jahr
Abstract
ML is rapidly integrating into personalized medicine, real-time monitoring, and multimodal data fusion. However, challenges such as limited collaboration, weak model generalization, and data privacy persist. Future efforts should prioritize algorithm optimization and multisource data integration to advance clinical applications.
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