Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study

Background: Machine learning (ML) has been gradually integrated into oncologic research but seldom applied to predict cervical cancer (CC), and no model has been reported to predict survival and site-specific recurrence simultaneously. Thus, we aimed to develop ML models to predict survival and site...

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Bibliographic Details
Main Authors: Chenyan Guo, Jue Wang, Yongming Wang, Xinyu Qu, Zhiwen Shi, Yan Meng, Junjun Qiu, Keqin Hua
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:Translational Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523321000243