Article

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures

2023-08-24

Abstract excerpt

<h4>Background: </h4> While the initial few hours of a hospital admission can significantly impact a patient’s clinical trajectory, early clinical decisions often suffer due to data paucity. By using clustering analysis for patient vital signs that were recorded in the first six hours after hospital admission, unique patient phenotypes with distinct pathophysiological signatures and clinical outcomes may be reveal...

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Literature Corpus work: 0cd45e53-6caa-5094-aec4-a5e95532d3b8
DOI: 10.21203/rs.3.rs-3276414/v1

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