An Artificial Intelligence Approach to Bloodstream Infections Prediction

An Artificial Intelligence Approach to Bloodstream Infections Prediction

This study aimed to develop an early prediction model for identifying patients with bloodstream infections. The data resource was taken from 2015 to 2019 at Taichung Veterans General Hospital, and a total of 1647 bloodstream infection episodes and 3552 non-bloodstream infection episodes in the inten...

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Bibliographic Details
Main Authors: Kai-Chih Pai, Min-Shian Wang, Yun-Feng Chen, Chien-Hao Tseng, Po-Yu Liu, Lun-Chi Chen, Ruey-Kai Sheu, Chieh-Liang Wu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Journal of Clinical Medicine
Subjects:
bloodstream infection
artificial intelligence
machine learning
model interpretation
Online Access:https://www.mdpi.com/2077-0383/10/13/2901

Internet

https://www.mdpi.com/2077-0383/10/13/2901

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