# An interpretable mortality prediction model for COVID-19 patients

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-interpretable-mortality-prediction-model-for-covid-19-patients/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yan Li,Hai-Tao Zhang,Jorge Gonçalves,Yang Xiao,Maolin Wang,Yuqi Guo,Chuan Sun,Xiuchuan Tang,Liang Jing,Mingyang Zhang,Xiang Huang,Ying Xiao,Haosen Cao,Yanyan Chen,Tongxin Ren,Fang Wang,Yaru Xiao,Sufang Huang,Xi Tan,Niannian Huang,Bo Jiao,Cheng Cheng,Yong Zhang,Ailin Luo,Laurent Mombaerts,Junyang Jin,Zhiguo Cao,Shusheng Li,Hui Xu,Ye Yuan |
| Citations | 1,032 |
| DOI | 10.1038/s42256-020-0180-7 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.nature.com/articles/s42256-020-0180-7.pdf |
| OpenAlex ID | https://openalex.org/W3025394897 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Ailin Luo](https://scholariq.org/researchers/ailin-luo/)

## Paper primary topic

- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)

## Paper topics

- [COVID-19 Clinical Research Studies](https://scholariq.org/topics/covid-19-clinical-research-studies/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [SARS-CoV-2 and COVID-19 Research](https://scholariq.org/topics/sars-cov-2-and-covid-19-research/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.