A new machine-learning-based prediction of survival in patients with end-stage liver disease
| Autor: | Gibb Sebastian, Berg Thomas, Herber Adam, Isermann Berend, Kaiser Thorsten |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Journal of Laboratory Medicine, Vol 47, Iss 1, Pp 13-21 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2567-9430 2567-9449 2022-0162 |
| DOI: | 10.1515/labmed-2022-0162 |
| Popis: | The shortage of grafts for liver transplantation requires risk stratification and adequate allocation rules. This study aims to improve the model of end-stage liver disease (MELD) score for 90-day mortality prediction with the help of different machine-learning algorithms. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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