# Clinical evaluation of a machine learning-based dysphagia risk prediction tool

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/clinical-evaluation-of-a-machine-learning-based-dysphagia-risk-prediction-tool/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Markus Gugatschka,Nina Maria Egger,K. Haspl,David Hortobagyi,Stefanie Jauk,Marlies Feiner,Diether Kramer |
| Citations | 11 |
| DOI | 10.1007/s00405-024-08678-x |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00405-024-08678-x.pdf |
| OpenAlex ID | https://openalex.org/W4396896534 |
| PMID | 38743079 |
| Type | article |
| Year | 2024 |

## Paper authors

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

## Paper journal

- [European Archives of Oto-Rhino-Laryngology](https://scholariq.org/journals/european-archives-of-oto-rhino-laryngology/)

## Paper primary topic

- [Dysphagia Assessment and Management](https://scholariq.org/topics/dysphagia-assessment-and-management/)

## Paper topics

- [Dysphagia Assessment and Management](https://scholariq.org/topics/dysphagia-assessment-and-management/)
- [Voice and Speech Disorders](https://scholariq.org/topics/voice-and-speech-disorders/)
- [Tracheal and airway disorders](https://scholariq.org/topics/tracheal-and-airway-disorders/)

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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.