# Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study

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

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stefanie Jauk,Diether Kramer,Sai Veeranki,Angelika Siml-Fraissler,Angelika Lenz-Waldbauer,Ewald Tax,Werner Leodolter,Markus Gugatschka |
| Citations | 19 |
| DOI | 10.1007/s00455-022-10548-9 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00455-022-10548-9.pdf |
| OpenAlex ID | https://openalex.org/W4313909094 |
| PMID | 36625964 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## 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/)
- [Tracheal and airway disorders](https://scholariq.org/topics/tracheal-and-airway-disorders/)
- [Esophageal and GI Pathology](https://scholariq.org/topics/esophageal-and-gi-pathology/)

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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.