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...

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Detalles Bibliográficos
Autores principales: Loureiro, Hugo, Becker, Tim, Bauer-Mehren, Anna, Ahmidi, Narges, Weberpals, Janick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
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

Internet

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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