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

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 Network...

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Detalles Bibliográficos
Autores principales: Su, Fan, Chao, Jianqian, Liu, Pei, Zhang, Bowen, Zhang, Na, Luo, Zongyu, Han, Jiaying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347801/
https://www.ncbi.nlm.nih.gov/pubmed/37443001
http://dx.doi.org/10.1186/s12911-023-02224-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347801/
https://www.ncbi.nlm.nih.gov/pubmed/37443001
http://dx.doi.org/10.1186/s12911-023-02224-1

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