Two-Stage Monitoring of Patients in Intensive Care Unit for Sepsis Prediction Using Non-Overfitted Machine Learning Models

Two-Stage Monitoring of Patients in Intensive Care Unit for Sepsis Prediction Using Non-Overfitted Machine Learning Models

The presented research faces the problem of early detection of sepsis for patients in the Intensive Care Unit. The PhysioNet/Computing in Cardiology Challenge 2019 facilitated the development of automated, open-source algorithms for the early detection of sepsis from clinical data. A labeled clinica...

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Bibliographic Details
Main Authors: Vytautas Abromavičius, Darius Plonis, Deividas Tarasevičius, Artūras Serackis
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Electronics
Subjects:
early detection
sepsis
evaluation metrics
machine learning
medical informatics
feature extraction
Online Access:https://www.mdpi.com/2079-9292/9/7/1133

Internet

https://www.mdpi.com/2079-9292/9/7/1133

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