Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii

Using time-series chest radiographs and laboratory data by machine learning for identifying pulmonary infection and colonization of Acinetobacter baumannii

Abstract Background Accurately distinguishing between pulmonary infection and colonization in patients with Acinetobacter baumannii is of utmost importance to optimize treatment and prevent antibiotic abuse or inadequate therapy. An efficient automated sorting tool could prompt individualized interv...

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Bibliographic Details
Main Authors: Zhaodong Zeng, Jiefang Wu, Genggeng Qin, Dong Yu, Zilong He, Weixiong Zeng, Hao Zhou, Jiongbin Lin, Laiyu Liu, Chunxia Qi, Weiguo Chen
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Respiratory Research
Subjects:
Acinetobacter baumannii
Machine learning
Time-series chest radiographs and laboratory data
Infection and colonization
Online Access:https://doi.org/10.1186/s12931-023-02624-x

Internet

https://doi.org/10.1186/s12931-023-02624-x

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