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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
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 |
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