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

• DOI: 10.1016/j.tranon.2021.101032
• Publication Date: 2021-02-21T16:28:02Z
• Authors: Chenyan Guo; Jue Wang; Yongming Wang; Xinyu Qu; Zhiwen Shi; Yan Meng; Junjun Qiu; Keqin Hua
• Keywords: Survival prediction; Artificial intelligence; 03 medical and health sciences; 0302 clinical medicine; Machine learning; Cervical cancer; Neoplasms. Tumors. Oncology. Including cancer and carcinogens; RC254-282; Original Research; 3. Good health

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