# A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-model-for-clinical-outcome-prediction-using-longitudinal/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ruichen Rong,Zifan Gu,Hongyin Lai,Tanna L. Nelson,Tony Keller,Clark Walker,Kevin W. Jin,Catherine Chen,Ann Marie Návar,Ferdinand Velasco,Eric D. Peterson,Guanghua Xiao,Donghan M. Yang,Yang Xie |
| Citations | 13 |
| DOI | 10.1093/jamiaopen/ooaf026 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://academic.oup.com/jamiaopen/article-pdf/8/2/ooaf026/62903973/ooaf026.pdf |
| OpenAlex ID | https://openalex.org/W4409381359 |
| PMID | 40213364 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Catherine Chen](https://scholariq.org/researchers/catherine-chen/)

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

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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.