Development and Validation of a Personalized Survival Prediction Model for Uterine Adenosarcoma: A Population-Based Deep Learning Study

Development and Validation of a Personalized Survival Prediction Model for Uterine Adenosarcoma: A Population-Based Deep Learning Study

BackgroundThe aim was to develop a personalized survival prediction deep learning model for adenosarcoma patients using the surveillance, epidemiology and end results (SEER) database.MethodsA total of 797 uterine adenosarcoma patients were enrolled in this study. Duplicated and useless variables wer...

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Bibliographic Details
Main Authors: Wenjie Qu, Qingqing Liu, Xinlin Jiao, Teng Zhang, Bingyu Wang, Ningfeng Li, Taotao Dong, Baoxia Cui
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
adenosarcoma
survival prediction
deep learning
artificial intelligence
database
personalized model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.623818/full

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