# Machine learning based early warning system enables accurate mortality risk prediction for COVID-19

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-based-early-warning-system-enables-accurate-mortality-risk/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yue Gao,Guangyao Cai,Wei Fang,Huayi Li,Siyuan Wang,Lingxi Chen,Yang Yu,Dan Liu,Sen Xu,Pengfei Cui,Shaoqing Zeng,Xinxia Feng,Ruidi Yu,Ya Wang,Yuan Yuan,Xiaofei Jiao,Jianhua Chi,Jiahao Liu,Ruyuan Li,Zheng Xu,Chunyan Song,Ning Jin,Wenjian Gong,Xingyu Liu,Lei Huang,Xun Tian,Lin Li,Hui Xing,Ding Ma,Chunrui Li,Fei Ye,Qinglei Gao |
| Citations | 368 |
| DOI | 10.1038/s41467-020-18684-2 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41467-020-18684-2.pdf |
| OpenAlex ID | https://openalex.org/W3092284106 |
| PMID | 33024092 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Yang Yu](https://scholariq.org/researchers/yang-yu/)
- [Ding Ma](https://scholariq.org/researchers/ding-ma/)

## Paper journal

- [Nature Communications](https://scholariq.org/journals/nature-communications/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.