Machine learning endometrial cancer risk prediction model: integrating guidelines of European Society for Medical Oncology with the tumor immune framework

OBJECTIVE: Current prognostic factors for endometrial cancer are not sufficient to predict recurrence in early stages. Treatment choices are based on the prognostic factors included in the risk classes defined by the ESMO-ESGO-ESTRO (European Society for Medical Oncology-European Society of Gynaecol...

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Detalles Bibliográficos
Autores principales: Bruno, Valentina, Betti, Martina, D’Ambrosio, Lorenzo, Massacci, Alice, Chiofalo, Benito, Pietropolli, Adalgisa, Piaggio, Giulia, Ciliberto, Gennaro, Nisticò, Paola, Pallocca, Matteo, Buda, Alessandro, Vizza, Enrico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646888/
https://www.ncbi.nlm.nih.gov/pubmed/37875322
http://dx.doi.org/10.1136/ijgc-2023-004671

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646888/
https://www.ncbi.nlm.nih.gov/pubmed/37875322
http://dx.doi.org/10.1136/ijgc-2023-004671

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