Risk Assessment of Bone Metastasis for Cervical Cancer Patients by Multiple Models: A Large Population Based Real-World Study

Risk Assessment of Bone Metastasis for Cervical Cancer Patients by Multiple Models: A Large Population Based Real-World Study

Background: Population-based data on the risk assessment of newly diagnosed cervical cancer patients' bone metastasis (CCBM) are lacking. This study aimed to develop various predictive models to assess the risk of bone metastasis via machine learning algorithms.Materials and Methods: We retrosp...

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Bibliographic Details
Main Authors: Yun Han, Bo Wang, Jinjin Zhang, Su Zhou, Jun Dai, Meng Wu, Yan Li, Shixuan Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Medicine
Subjects:
cervical cancer
bone metastasis
predictive model
machine learning algorithm
SEER
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.725298/full

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https://www.frontiersin.org/articles/10.3389/fmed.2021.725298/full

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