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

2023-03-19

Abstract excerpt

<h4>Objective</h4> Computing phenotypes that provide high-fidelity, time-dependent characterizations and yield personalized interpretations is challenging, especially given the complexity of physiological and healthcare systems and clinical data quality. This paper develops a methodological pipeline to estimate unmeasured physiological parameters and produce high-fidelity, personalized phenotypes anchored to physi...

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Literature Corpus work
59dab9df-7a0c-51e0-a259-7b6086528e4d
DOI
10.1101/2023.03.15.23287315
Open publication

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A methodology of phenotyping ICU patients from EHR data: high-fidelity, personalized, and interpretable phenotypes estimationDOI 10.1101/2023.03.15.23287315
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