Continuous Vital Sign Monitoring Data in the General Ward: Exploratory Analysis
This paper explores and analyzes a high-frequency vital sign- and event dataset from surgical ward patients to prepare for the training and application of predictive models.
Authors
- Anne Rike Flint (ORCID: https://orcid.org/0000-0002-1414-5812)
- Joan Alsolivany
- Lina Mosch (ORCID: https://orcid.org/0000-0003-3154-2745)
- Roland Roller (ORCID: https://orcid.org/0000-0001-7900-4116)
- Patrick Heeren (ORCID: https://orcid.org/0000-0001-9356-2296)
- Nils Hecht (ORCID: https://orcid.org/0000-0001-9989-649X)
- Felix Balzer (ORCID: https://orcid.org/0000-0003-1575-2056)
- Mobinasadat Tayyeb
- Alexander Windberger
Institutions
- Heidelberg University (DE)
- German Research Centre for Artificial Intelligence (DE)
- Heilbronn University (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3233/shti250643
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00