An Explainable Machine Learning Model for Early Prediction of Sepsis Using ICU Data

Early identification of individuals with sepsis is very useful in assisting clinical triage and decision-making, resulting in early intervention and improved outcomes. This study aims to develop an explainable machine learning model with the clinical interpretability to predict sepsis onset before 6...

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Detalles Bibliográficos

Autores principales:	Nesaragi, Naimahmed, Patidar, Shivnarayan
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2021
Materias:	Health Sciences
Acceso en línea:	https://www.intechopen.com/chapters/77653
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