# A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-transformer-based-model-trained-on-large-scale-claims-data-for-prediction-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Manuel Lentzen,Thomas Lindén,Sai Veeranki,Sumit Madan,Diether Kramer,Werner Leodolter,Holger Fröhlich |
| Citations | 26 |
| DOI | 10.1109/jbhi.2023.3288768 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ieeexplore.ieee.org/ielx7/6221020/6363502/10159467.pdf |
| OpenAlex ID | https://openalex.org/W4381715962 |
| PMID | 37347632 |
| Type | article |
| Year | 2023 |

## Paper authors

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

## Paper journal

- [IEEE Journal of Biomedical and Health Informatics](https://scholariq.org/journals/ieee-journal-of-biomedical-and-health-informatics/)

## Paper primary topic

- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)

## Paper topics

- [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/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

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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.
