The application of machine learning for predicting recurrence in patients with early-stage endometrial cancer: a pilot study

OBJECTIVE: Most women with early stage endometrial cancer have a favorable prognosis. However, there is a subset of patients who develop recurrence. In addition to the pathological stage, clinical and therapeutic factors affect the probability of recurrence. Machine learning is a subtype of artifici...

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Detalles Bibliográficos
Autores principales: Akazawa, Munetoshi, Hashimoto, Kazunori, Noda, Katsuhiko, Yoshida, Kaname
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Obstetrics and Gynecology 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138074/
https://www.ncbi.nlm.nih.gov/pubmed/33371658
http://dx.doi.org/10.5468/ogs.20248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138074/
https://www.ncbi.nlm.nih.gov/pubmed/33371658
http://dx.doi.org/10.5468/ogs.20248

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