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Artificial Intelligence for Prognostic Scores in Oncology: a Benchmarking Study
Introduction: Prognostic scores are important tools in oncology to facilitate clinical decision-making based on patient characteristics. To date, classic survival analysis using Cox proportional hazards regression has been employed in the development of these prognostic scores. With the advance of a...
Autores principales: | Loureiro, Hugo, Becker, Tim, Bauer-Mehren, Anna, Ahmidi, Narges, Weberpals, Janick |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086599/ https://www.ncbi.nlm.nih.gov/pubmed/33937744 http://dx.doi.org/10.3389/frai.2021.625573 |
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