Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model

Evaluating sepsis watch generalizability through multisite external validation of a sepsis machine learning model

Abstract Sepsis accounts for a substantial portion of global deaths and healthcare costs. The objective of this reproducibility study is to validate Duke Health’s Sepsis Watch ML model, in a new community healthcare setting and assess its performance and clinical utility in early sepsis detection at...

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Main Authors: Bruno Valan, Anusha Prakash, William Ratliff, Michael Gao, Srikanth Muthya, Ajit Thomas, Jennifer L. Eaton, Matt Gardner, Marshall Nichols, Mike Revoir, Dustin Tart, Cara O’Brien, Manesh Patel, Suresh Balu, Mark Sendak
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01664-5
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https://doi.org/10.1038/s41746-025-01664-5

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