Using Machine Learning to Develop and Validate an In-Hospital Mortality Prediction Model for Patients with Suspected Sepsis

Using Machine Learning to Develop and Validate an In-Hospital Mortality Prediction Model for Patients with Suspected Sepsis

Background: Early recognition of sepsis and the prediction of mortality in patients with infection are important. This multi-center, ED-based study aimed to develop and validate a 28-day mortality prediction model for patients with infection using various machine learning (ML) algorithms. Methods: P...

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Bibliographic Details
Main Authors: Hsiao-Yun Chao, Chin-Chieh Wu, Avichandra Singh, Andrew Shedd, Jon Wolfshohl, Eric H. Chou, Yhu-Chering Huang, Kuan-Fu Chen
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Biomedicines
Subjects:
biomarker
logistic regression
machine learning
mortality prediction
sepsis
Online Access:https://www.mdpi.com/2227-9059/10/4/802

Internet

https://www.mdpi.com/2227-9059/10/4/802

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