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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Veröffentlicht in:	Obstetrics & gynecology science 2021-05, Vol.64 (3), p.266
Hauptverfasser:	Munetoshi Akazawa, Kazunori Hashimoto, Katsuhiko Noda, Kaname Yoshida
Format:	Artikel
Sprache:	kor
Schlagworte:	Endometrial cancer Machine learning Probability learning Recurrence
Online-Zugang:	Volltext
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