An Improved Training Algorithm Based on Ensemble Penalized Cox Regression for Predicting Absolute Cancer Risk

INTRODUCTION: Biases in cancer incidence characteristics have led to significant imbalances in databases constructed by prospective cohort studies. Since they use imbalanced databases, many traditional algorithms for training cancer risk prediction models perform poorly. METHODS: To improve predicti...

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Detalles Bibliográficos
Autores principales: Liu, Liyuan, Yang, Fu, Fan, Yeye, Kao, Chunyu, Wang, Fei, Yu, Lixiang, He, Yong, Ji, Jiadong, Yu, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2023
Materias:
Methods and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061827/
https://www.ncbi.nlm.nih.gov/pubmed/37007865
http://dx.doi.org/10.46234/ccdcw2023.037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061827/
https://www.ncbi.nlm.nih.gov/pubmed/37007865
http://dx.doi.org/10.46234/ccdcw2023.037

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