Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning

INTRODUCTION: Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within learning datasets. We designed a study to support th...

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Detalles Bibliográficos
Autores principales: Laios, Alexandros, Katsenou, Angeliki, Tan, Yong Sheng, Johnson, Racheal, Otify, Mohamed, Kaufmann, Angelika, Munot, Sarika, Thangavelu, Amudha, Hutson, Richard, Broadhead, Tim, Theophilou, Georgios, Nugent, David, De Jong, Diederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549478/
https://www.ncbi.nlm.nih.gov/pubmed/34693730
http://dx.doi.org/10.1177/10732748211044678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549478/
https://www.ncbi.nlm.nih.gov/pubmed/34693730
http://dx.doi.org/10.1177/10732748211044678

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