Multimodal data-driven prognostic model for predicting long-term outcomes in older adult patients with sarcopenia: a retrospective cohort study

Multimodal data-driven prognostic model for predicting long-term outcomes in older adult patients with sarcopenia: a retrospective cohort study

BackgroundSarcopenia (SP) is a progressive, age-related disease that may result in various adverse health outcomes and even mortality in older adults. Accurately predicting the mortality risk of older adults with SP is essential for informed clinical decision-making. This study aims to utilize machi...

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Bibliographic Details
Main Authors: Mengdie Liu, Wen Guo, Jin Peng, Jinhui Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Public Health
Subjects:
sarcopenia
machine learning
multimodal data
mortality prediction
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1614374/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1614374/full

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