Population-Based Screening for Endometrial Cancer: Human vs. Machine Intelligence

Incidence and mortality rates of endometrial cancer are increasing, leading to increased interest in endometrial cancer risk prediction and stratification to help in screening and prevention. Previous risk models have had moderate success with the area under the curve (AUC) ranging from 0.68 to 0.77...

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Detalles Bibliográficos
Autores principales: Hart, Gregory R., Yan, Vanessa, Huang, Gloria S., Liang, Ying, Nartowt, Bradley J., Muhammad, Wazir, Deng, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861326/
https://www.ncbi.nlm.nih.gov/pubmed/33733200
http://dx.doi.org/10.3389/frai.2020.539879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861326/
https://www.ncbi.nlm.nih.gov/pubmed/33733200
http://dx.doi.org/10.3389/frai.2020.539879

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