AIMC Topic: Health Transition
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Interpretable machine learning for high-dimensional trajectories of aging health.
PLoS computational biology
Jan 10, 2022
We have built a computational model for individual aging trajectories of health and survival, which contains physical, functional, and biological variables, and is conditioned on demographic, lifestyle, and medical background information. We combine ...
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