2023
DOI: 10.1186/s12889-023-17477-8
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Online COVID-19 diagnosis prediction using complete blood count: an innovative tool for public health

Xiaojing Teng,
Zhiyi Wang

Abstract: Background COVID-19, caused by SARS-CoV-2, presents distinct diagnostic challenges due to its wide range of clinical manifestations and the overlapping symptoms with other common respiratory diseases. This study focuses on addressing these difficulties by employing machine learning (ML) methodologies, particularly the XGBoost algorithm, to utilize Complete Blood Count (CBC) parameters for predictive analysis. Methods We performed a retrospective st… Show more

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