Soft phenotyping for sepsis via EHR time-aware soft clustering.

ABSTRACT:

Objective

Sepsis is one of the most serious hospital conditions associated with high mortality. Sepsis is the result of a dysregulated immune response to infection that can lead to multiple organ dysfunction and death. Due to the wide variability in the causes of sepsis, clinical presentation, and the recovery trajectories, identifying sepsis sub-phenotypes is crucial to advance our understanding of sepsis characterization, to choose targeted treatments and optimal timing of interventions, and to improve prognostication. Prior studies have described different sub-phenotypes of sepsis using organ-specific characteristics. These studies applied clustering algorithms to electronic health records (EHRs) to identify disease sub-phenotypes. However, prior approaches did not capture tempo

SUBMITTER: Jiang S 

PROVIDER: S-EPMC11073833 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature