# Machine learning-based delirium prediction in surgical in-patients: a prospective validation study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-based-delirium-prediction-in-surgical-in-patients-a-prospective/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stefanie Jauk,Diether Kramer,Stefan Sumerauer,Sai Veeranki,Michael Schrempf,Paul Puchwein |
| Citations | 10 |
| DOI | 10.1093/jamiaopen/ooae091 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1093/jamiaopen/ooae091 |
| OpenAlex ID | https://openalex.org/W4402615872 |
| PMID | 39297150 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Stefanie Jauk](https://scholariq.org/researchers/stefanie-jauk/)

## Paper primary topic

- [Intensive Care Unit Cognitive Disorders](https://scholariq.org/topics/intensive-care-unit-cognitive-disorders/)

## Paper topics

- [Intensive Care Unit Cognitive Disorders](https://scholariq.org/topics/intensive-care-unit-cognitive-disorders/)
- [Thermal Regulation in Medicine](https://scholariq.org/topics/thermal-regulation-in-medicine/)
- [Healthcare Technology and Patient Monitoring](https://scholariq.org/topics/healthcare-technology-and-patient-monitoring/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.