# Using a machine learning approach to predict mortality in critically ill influenza patients: a cross-sectional retrospective multicentre study in Taiwan

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/using-a-machine-learning-approach-to-predict-mortality-in-critically-ill/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chien-an A. Hu,Chia-Ming Chen,Yen-Chun Fang,Shinn‐Jye Liang,Hao‐Chien Wang,Wen‐Feng Fang,Chau‐Chyun Sheu,Wann-Cherng Perng,Kuang-Yao Yang,Kuo-Chin Kao,Chieh‐Liang Wu,Chwei-Shyong Tsai,Ming‐Yen Lin,Wen‐Cheng Chao |
| Citations | 110 |
| DOI | 10.1136/bmjopen-2019-033898 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmjopen.bmj.com/content/bmjopen/10/2/e033898.full.pdf |
| OpenAlex ID | https://openalex.org/W3007001459 |
| PMID | 32102816 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Shinn‐Jye Liang](https://scholariq.org/researchers/shinn-jye-liang/)

## Paper journal

- [BMJ Open](https://scholariq.org/journals/bmj-open/)

## Paper primary topic

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)

## Paper topics

- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [Influenza Virus Research Studies](https://scholariq.org/topics/influenza-virus-research-studies/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-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.