# A deep learning approach for inpatient length of stay and mortality prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-approach-for-inpatient-length-of-stay-and-mortality-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junde Chen,Di Qi,Jacqueline Vu,Yuxin Wen |
| Citations | 20 |
| DOI | 10.1016/j.jbi.2023.104526 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4387662340 |
| PMID | 37852346 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Di Qi](https://scholariq.org/researchers/di-qi/)

## Paper journal

- [Journal of Biomedical Informatics](https://scholariq.org/journals/journal-of-biomedical-informatics/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [Sepsis Diagnosis and Treatment](https://scholariq.org/topics/sepsis-diagnosis-and-treatment/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

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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.