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Time-Series Deep Learning and Conformal Prediction for Improved Sepsis Diagnosis in Non-ICU Hospitalized Patients

2024-11-22

Abstract excerpt

<h4>Purpose</h4> Sepsis, a life-threatening condition from an uncontrolled immune response to infection, is a leading cause of in-hospital mortality. Early detection is crucial, yet traditional diagnostic methods, like SIRS and SOFA, often fail to identify sepsis in non-ICU settings where monitoring is less frequent. Recent machine learning (ML) models offer new possibilities but lack generalizability and suffer...

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Literature Corpus work
8dc746af-9d86-5f25-9d73-d07dc1c64ebe
DOI
10.1101/2024.11.21.24317716
Open publication

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Time-Series Deep Learning and Conformal Prediction for Improved Sepsis Diagnosis in Non-ICU Hospitalized PatientsDOI 10.1101/2024.11.21.24317716
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