Optimization of Cervical Cancer Screening: A Stacking-Integrated Machine Learning Algorithm Based on Demographic, Behavioral, and Clinical Factors

PURPOSE: The purpose is to accurately identify women at high risk of developing cervical cancer so as to optimize cervical screening strategies and make better use of medical resources. However, the predictive models currently in use require clinical physiological and biochemical indicators, resulti...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Lin, Yang, Lingping, Liu, Xiyao, Tang, Lan, Zeng, Qi, Gao, Yuwen, Chen, Qian, Liu, Zhaohai, Peng, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886038/
https://www.ncbi.nlm.nih.gov/pubmed/35242711
http://dx.doi.org/10.3389/fonc.2022.821453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8886038/
https://www.ncbi.nlm.nih.gov/pubmed/35242711
http://dx.doi.org/10.3389/fonc.2022.821453

Ejemplares similares