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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Korean Society of Obstetrics and Gynecology
2021-05-01
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| Series: | Obstetrics & Gynecology Science |
| Subjects: | |
| Online Access: | http://www.ogscience.org/upload/pdf/ogs-20248.pdf |