Machine learning of cell population data, complete blood count, and differential count parameters for early prediction of bacteremia among adult patients with suspected bacterial infections and blood culture sampling in emergency departments

Machine learning of cell population data, complete blood count, and differential count parameters for early prediction of bacteremia among adult patients with suspected bacterial infections and blood culture sampling in emergency departments

Background: Bacteremia is a life-threatening complication of infectious diseases. Bacteremia can be predicted using machine learning (ML) models, but these models have not utilized cell population data (CPD). Methods: The derivation cohort from emergency department (ED) of China Medical University H...

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Bibliographic Details
Main Authors: Yu-Hsin Chang, Chiung-Tzu Hsiao, Yu-Chang Chang, Hsin-Yu Lai, Hsiu-Hsien Lin, Chien-Chih Chen, Lin-Chen Hsu, Shih-Yun Wu, Hong-Mo Shih, Po-Ren Hsueh, Der-Yang Cho
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Journal of Microbiology, Immunology and Infection
Subjects:
Bacteremia early prediction
Machine learning
Cell population data
Complete blood count
Cell differential count
Online Access:http://www.sciencedirect.com/science/article/pii/S1684118223000919

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http://www.sciencedirect.com/science/article/pii/S1684118223000919

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