Machine learning models identify predictive features of patient mortality across dementia types
Abstract Background Dementia care is challenging due to the divergent trajectories in disease progression and outcomes. Predictive models are needed to flag patients at risk of near-term mortality and identify factors contributing to mortality risk across different dementia types. Methods Here, we d...
Main Authors: | Jimmy Zhang, Luo Song, Zachary Miller, Kwun C. G. Chan, Kuan-lin Huang |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2024-02-01
|
Series: | Communications Medicine |
Online Access: | https://doi.org/10.1038/s43856-024-00437-7 |
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