Author: Min Zhou; Yong Chen; Dexiang Wang; Yanping Xu; Weiwu Yao; Jingwen Huang; Xiaoyan Jin; Zilai Pan; Jingwen Tan; Lan Wang; Yihan Xia; Longkuan Zou; Xin Xu; Jingqi Wei; Mingxin Guan; Jianxing Feng; Huan Zhang; Jieming Qu
Title: Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia Document date: 2020_3_30
ID: ilc2bzkx_2
Snippet: Early diagnosis is critical for both epidemic control and prompt medical intervention. Notably, pneumonia identified outside high-incidence areas are likely to be induced by a broad spectrum of pathogens, especially influenza which has high incidence in winter and spring. Influenza pneumonia (IP) brings huge burden to healthcare system due to its high morbidity and mortality rate. In United States, influenza accounted for more than 29 million inf.....
Document: Early diagnosis is critical for both epidemic control and prompt medical intervention. Notably, pneumonia identified outside high-incidence areas are likely to be induced by a broad spectrum of pathogens, especially influenza which has high incidence in winter and spring. Influenza pneumonia (IP) brings huge burden to healthcare system due to its high morbidity and mortality rate. In United States, influenza accounted for more than 29 million infections and 16,000 deaths in 2019 (1) . It was reported that oral oseltamivir accelerates symptom alleviation and reduces risks of lower respiratory tract complications in influenza (2) . Therefore, early diagnosis and separation of IP patients from NCP patients will improve prognosis and optimize the allocation of medical resources. However, apart from overlapping symptoms and laboratory abnormalities, IP and NCP manifest similar chest CT findings (3), making it difficult to differentiate these two kinds of viral pneumonia.
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