Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network

Prognostic models for breast cancer: based on logistics regression and Hybrid Bayesian Network

Abstract Background To construct two prognostic models to predict survival in breast cancer patients; to compare the efficacy of the two models in the whole group and the advanced human epidermal growth factor receptor-2-positive (HER2+) subgroup of patients; to conclude whether the Hybrid Bayesian...

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Bibliographic Details
Main Authors: Fan Su, Jianqian Chao, Pei Liu, Bowen Zhang, Na Zhang, Zongyu Luo, Jiaying Han
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Breast cancer
Prognostic model
Hybrid bayesian network
HER2
Online Access:https://doi.org/10.1186/s12911-023-02224-1

Internet

https://doi.org/10.1186/s12911-023-02224-1

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