Development and validation of a machine learning model integrated with the clinical workflow for early detection of sepsis

Development and validation of a machine learning model integrated with the clinical workflow for early detection of sepsis

BackgroundSepsis is a life-threatening condition caused by a dysregulated response to infection, affecting millions of people worldwide. Early diagnosis and treatment are critical for managing sepsis and reducing morbidity and mortality rates.Materials and methodsA systematic design approach was emp...

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Bibliographic Details
Main Authors:	Mohammed A. Mahyoub, Ravi R. Yadav, Kacie Dougherty, Ajit Shukla
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-11-01
Series:	Frontiers in Medicine
Subjects:	sepsis early detection machine learning XGBoost model interpretability machine learning deployment
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2023.1284081/full

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