Corticosteroid treatment prediction using chest X-ray and clinical data

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作者: Anzhelika Mezina*;Samuel Genzor*;Radim Burget;Vojtech Myska;Jan Mizera;...
通讯作者: Anzhelika Mezina;Samuel Genzor
作者机构: Brno University of Technology, FEEC, Dept. of Telecommunications, Technicka 12, Brno, 616 00, Czech Republic
Center for Digital Health, Palacky Univesity Olomouc, Faculty of Medicine and Dentistry, Hnevotinska 976/3, Olomouc 779 00, Czech Republic
Electrical Engineering Unit, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, 33720, Finland
通讯机构: Brno University of Technology, FEEC, Dept. of Telecommunications, Technicka 12, Brno, 616 00, Czech Republic
Center for Digital Health, Palacky Univesity Olomouc, Faculty of Medicine and Dentistry, Hnevotinska 976/3, Olomouc 779 00, Czech Republic
语种: 英文
关键词: Image classification,Chest X-ray images,Vision transformer,Treatment prediction,Clinical data,Post-acute COVID-19
期刊: Computational and Structural Biotechnology Journal
ISSN: 2001-0370
年: 2024
卷: 24
页码: 53-65
摘要: Severe courses of COVID-19 disease can lead to long-term complications. The post-acute phase of COVID-19 refers to the persistent or new symptoms. This problem is becoming more relevant with the increasing number of patients who have contracted COVID-19 and the emergence of new virus variants. In this case, preventive treatment with corticosteroids can be applied. However, not everyone benefits from the treatment, moreover, it can have severe side effects. Currently, no study would analyze who benefits from the ...

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