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 (Author), Kazunori Hashimoto (Author), Katsuhiko Noda (Author), Kaname Yoshida (Author)
Format: Book
Published: Korean Society of Obstetrics and Gynecology, 2021-05-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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