Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data

Background: Current diagnostic methods for colorectal cancer (CRC) are colonoscopy and sigmoidoscopy, which are invasive and complex procedures with possible complications. This study aimed to determine models for CRC identification that involve minimally invasive, affordable, portable, and accurate...

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Detalles Bibliográficos
Autores principales: Li, Hui, Lin, Jianmei, Xiao, Yanhong, Zheng, Wenwen, Zhao, Lu, Yang, Xiangling, Zhong, Minsheng, Liu, Huanliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606732/
https://www.ncbi.nlm.nih.gov/pubmed/34806496
http://dx.doi.org/10.1177/15330338211058352

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606732/
https://www.ncbi.nlm.nih.gov/pubmed/34806496
http://dx.doi.org/10.1177/15330338211058352

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