A multistage multimodal deep learning model for disease severity assessment and early warnings of high-risk patients of covid-19

HIGHLIGHTS

• who: Zhuo Li and Yifei Shen from the Tsinghua University, China have published the paper: A multistage multimodal deep learning model for disease severity assessment and early warnings of high-risk patients of COVID-19, in the Journal: (JOURNAL) of January/24,/2020
• what: To address the characteristics of the consecutive rounds of multimodal clinical test data, in this paper, the authors propose a multistage multimodal deep learning (MMDL) model to first assess the disease severity, and_(2) identify those who are at an early stage of illness and are likely to grow worse. Extensive . . .
  

   

  

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