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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...
Autores principales: | Su, Fan, Chao, Jianqian, Liu, Pei, Zhang, Bowen, Zhang, Na, Luo, Zongyu, Han, Jiaying |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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