Early Detection of Sepsis With Machine Learning Techniques: A Brief Clinical Perspective

Early Detection of Sepsis With Machine Learning Techniques: A Brief Clinical Perspective

Sepsis is a major cause of death worldwide. Over the past years, prediction of clinically relevant events through machine learning models has gained particular attention. In the present perspective, we provide a brief, clinician-oriented vision on the following relevant aspects concerning the use of...

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Bibliographic Details
Main Authors: Daniele Roberto Giacobbe, Alessio Signori, Filippo Del Puente, Sara Mora, Luca Carmisciano, Federica Briano, Antonio Vena, Lorenzo Ball, Chiara Robba, Paolo Pelosi, Mauro Giacomini, Matteo Bassetti
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Medicine
Subjects:
sepsis
machine learning
artificial intelligence
early diagnosis
supervised learning
unsupervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.617486/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.617486/full

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