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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Main Authors: | Munetoshi Akazawa (Author), Kazunori Hashimoto (Author), Katsuhiko Noda (Author), Kaname Yoshida (Author) |
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Format: | Book |
Published: |
Korean Society of Obstetrics and Gynecology,
2021-05-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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