at Google ScholarTitle data
Faisal, A. Aldo ; Le Lannou, Erwann ; Post, Benjamin ; Haar, Shlomi ; Brett, Stephen ; Kadirvelu, Balasundaram:
Clustering of patient comorbidities within electronic medical records enables high-precision COVID-19 mortality prediction.
Research Square
,
2021
DOI: https://doi.org/10.21203/rs.3.rs-374482/v1
Further data
| Item Type: | Preprint, postprint |
|---|---|
| Institutions of the University: | Faculties > Faculty of Life Sciences: Food, Nutrition and Health Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften - Univ.-Prof. Dr. Aldo Faisal Faculties Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Lehrstuhl Digital Health mit Schwerpunkt Data Science in Lebenswissenschaften |
| Result of work at the UBT: | No |
| DDC Subjects: | 600 Technology, medicine, applied sciences |
| Date Deposited: | 22 Aug 2023 07:05 |
| Last Modified: | 22 Aug 2023 07:05 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/86647 |