Machine Learning Models to Predict Survival Outcomes According to the Surgical Approach of Primary Radical Hysterectomy in Patients with Early Cervical Cancer

Machine Learning Models to Predict Survival Outcomes According to the Surgical Approach of Primary Radical Hysterectomy in Patients with Early Cervical Cancer

We purposed to develop machine learning models predicting survival outcomes according to the surgical approach for radical hysterectomy (RH) in early cervical cancer. In total, 1056 patients with 2009 FIGO stage IB cervical cancer who underwent primary type C RH by either open or laparoscopic surger...

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Bibliographic Details
Main Authors: Se Ik Kim, Sungyoung Lee, Chel Hun Choi, Maria Lee, Dong Hoon Suh, Hee Seung Kim, Kidong Kim, Hyun Hoon Chung, Jae Hong No, Jae-Weon Kim, Noh Hyun Park, Yong-Sang Song, Yong Beom Kim
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Cancers
Subjects:
cervical cancer
hysterectomy
minimally invasive surgery
laparoscopy
survival rate
recurrence
Online Access:https://www.mdpi.com/2072-6694/13/15/3709

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https://www.mdpi.com/2072-6694/13/15/3709

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