# Predicting pressure injury using nursing assessment phenotypes and machine learning methods

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-pressure-injury-using-nursing-assessment-phenotypes-and-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Wenyu Song,Min‐Jeoung Kang,Linying Zhang,Wonkyung Jung,Jiyoun Song,David O. Bates,Patricia C. Dykes |
| Citations | 69 |
| DOI | 10.1093/jamia/ocaa336 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://academic.oup.com/jamia/article-pdf/28/4/759/36642068/ocaa336.pdf |
| OpenAlex ID | https://openalex.org/W3128640632 |
| PMID | 33517452 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jiyoun Song](https://scholariq.org/researchers/jiyoun-song/)

## Paper journal

- [Journal of the American Medical Informatics Association](https://scholariq.org/journals/journal-of-the-american-medical-informatics-association/)

## Paper primary topic

- [Pressure Ulcer Prevention and Management](https://scholariq.org/topics/pressure-ulcer-prevention-and-management/)

## Paper topics

- [Pressure Ulcer Prevention and Management](https://scholariq.org/topics/pressure-ulcer-prevention-and-management/)
- [Stoma care and complications](https://scholariq.org/topics/stoma-care-and-complications/)
- [Surgical site infection prevention](https://scholariq.org/topics/surgical-site-infection-prevention/)

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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.