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A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimation.

Yanran WangJ N StrohGeorge HripcsakCecilia C Low WangTellen D BennettJulia WrobelCaroline Der NigoghossianScott MuellerJan ClaassenDavid J Albers
Published in: medRxiv : the preprint server for health sciences (2023)
The new physiological phenotypes computed with individual patient ICU data and defined by estimates of mechanistic model parameters have high physiological fidelity, are continuous, time-specific, personalized, interpretable, and predictive. This methodology is generalizable to other clinical and physiological settings and opens the door for discovering deeper physiological information to personalize medical care.
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