An interpretable mortality prediction model for COVID-19 patients-Reference-Cited by-全球学者库

An interpretable mortality prediction model for COVID-19 patients

Published:2020-05 Issue:5 Volume:2 Page:283-288
ISSN:2522-5839
Container-title:Nature Machine Intelligence
language:en
Short-container-title:Nat Mach Intell

Author:

Yan Li^ORCID,Zhang Hai-Tao,Goncalves Jorge^ORCID,Xiao Yang,Wang Maolin,Guo Yuqi,Sun Chuan,Tang Xiuchuan,Jing Liang,Zhang Mingyang,Huang Xiang,Xiao Ying,Cao Haosen,Chen Yanyan,Ren Tongxin,Wang Fang,Xiao Yaru,Huang Sufang,Tan Xi,Huang Niannian,Jiao Bo,Cheng Cheng,Zhang Yong,Luo Ailin,Mombaerts Laurent^ORCID,Jin Junyang,Cao Zhiguo^ORCID,Li Shusheng^ORCID,Xu Hui^ORCID,Yuan Ye^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Link

http://www.nature.com/articles/s42256-020-0180-7.pdf

Reference21 articles.

1. World Health Organization. Coronavirus Disease 2019 (COVID-19) Situation Report 46, 6 March 2020 (2020); https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200306-sitrep-46-covid-19.pdf

2. World Health Organization. Coronavirus Disease 2019 (COVID-19) Situation Report 68, 28 March 2020 (2020); https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200328-sitrep-68-covid-19.pdf

3. Huang, C. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 395, 497–506 (2020).

4. Chen, N. et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 395, 507–513 (2020).

5. Novel Coronavirus Pneumonia Emergency Response Epidemiology Team The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China. Zhonghua Liu Xing Bing Xue Za Zhi 41, 145–151 (2020).

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