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

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 artificia...

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Bibliographic Details
Main Authors: Munetoshi Akazawa, Kazunori Hashimoto, Katsuhiko Noda, Kaname Yoshida
Format: Article
Language:English
Published: Korean Society of Obstetrics and Gynecology 2021-05-01
Series:Obstetrics & Gynecology Science
Subjects:
machine learning
recurrence
endometrial cancer
probability learning
Online Access:http://www.ogscience.org/upload/pdf/ogs-20248.pdf

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