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

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第一作者： Zhaodong,Zeng

第一单位： Department of Radiology, NanFang Hospital of Southern Medical University, Guangzhou, China.

作者： Zhaodong,Zeng ^[1] ; Jiefang,Wu ^[1] ; Genggeng,Qin ^[1] ; Dong,Yu ^[2] ; Zilong,He ^[1] ; Weixiong,Zeng ^[1] ; Hao,Zhou ^[3] ; Jiongbin,Lin ^[1] ; Laiyu,Liu ^[4] ; Chunxia,Qi ^[5] ; Weiguo,Chen ^[6]

作者单位： Department of Radiology, NanFang Hospital of Southern Medical University, Guangzhou, China. ^[1] Department of Respiratory and Critical Care Medicine, Chronic Airways Diseases Laboratory, Nanfang Hospital of Southern Medical University, Guangzhou, China. ^[2] Department of Hospital Infection Management, ZhuJiang Hospital of Southern Medical University, Guangzhou, China. ^[3] Department of Respiratory and Critical Care Medicine, Chronic Airways Diseases Laboratory, Nanfang Hospital of Southern Medical University, Guangzhou, China. liulaiyu@sina.com. ^[4] Department of Hospital Infection Management, NanFang Hospital of Southern Medical University, Guangzhou, China. chunqi1992@163.com. ^[5] Department of Radiology, NanFang Hospital of Southern Medical University, Guangzhou, China. chen1999@smu.edu.cn. ^[6]

关键词 Acinetobacter baumannii Infection and colonization Machine learning Time-series chest radiographs and laboratory data

主题词人类(Humans);鲍氏不动杆菌(Acinetobacter baumannii);回顾性研究(Retrospective Studies);不动杆菌感染(Acinetobacter Infections);抗菌药(Anti-Bacterial Agents);肺炎(Pneumonia)

DOI 10.1186/s12931-023-02624-x

PMID 38172893

发布时间 2024-01-06

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