Comorbidity scores and machine learning methods can improve risk assessment in radical cystectomy for bladder cancer: research report
BACKGROUND: Pre-operative risk assessment in radical cystectomy (RC) is an ongoing challenge especially in elderly patients. OBJECTIVE: To evaluate the ability of comorbidity indices and their combination with clinical parameters in machine learning
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| Main Authors: | , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
03 June 2022
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| In: |
Bladder cancer
Year: 2022, Volume: 8, Issue: 2, Pages: 155-163 |
| ISSN: | 2352-3735 |
| DOI: | 10.3233/BLC-211640 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.3233/BLC-211640 Verlag, kostenfrei, Volltext: https://content.iospress.com/articles/bladder-cancer/blc211640 |
| Author Notes: | Frederik Wessels, Isabelle Bußoff, Sophia Adam, Karl-Friedrich Kowalewski, Manuel Neuberger, Philipp Nuhn, Maurice S. Michel and Maximilian C. Kriegmair |
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