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《MedRixv，3月1日，Prediction of survival for severe Covid-19 patients with three clinical features: development of a machine learning-based prognostic model with clinical data in Wuhan》

  • 来源专题：COVID-19科研动态监测
  • 编译者： zhangmin
  • 发布时间：2020-03-02

  • Prediction of survival for severe Covid-19 patients with three clinical features: development of a machine learning-based prognostic model with clinical data in Wuhan

    Li Yan, Hai-Tao Zhang, Yang Xiao, Maolin Wang, Chuan Sun, Jing Liang, Shusheng Li, Mingyang Zhang, Yuqi Guo, Ying Xiao, Xiuchuan Tang, Haosen Cao, Xi Tan, Niannian Huang, Bo Jiao, Ailin Luo, Zhiguo Cao, Hui Xu, Ye Yuan

    doi: https://doi.org/10.1101/2020.02.27.20028027

    Abstract

    The swift spread of COVID-19 epidemic has attracted worldwide attentions since Dec., 2019. Till date, 77,041 confirmed Chinese cases have been reported by National Health Commission of P.R. China with 9,126 critical cases whose survival rate is quite low. Meanwhile, COVID-19 epidemic emergence within the other countries (e.g., Korea, Italy, Japan and Iran) is also remarkable with the increasing spread speed. It plays a more and more important role to efficiently and precisely predict the survival rate for critically ill Covid-19 patients as more fatal cases can be targeted interfered in advanced.

    *注，本文为预印本论文手稿，是未经同行评审的初步报告，其观点仅供科研同行交流，并不是结论性内容，请使用者谨慎使用.

  • 原文来源：https://www.medrxiv.org/content/10.1101/2020.02.27.20028027v1
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