Application of deep learning to predict advanced neoplasia using big clinical data in colorectal cancer screening of asymptomatic adults

BACKGROUND/AIMS: We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal neoplasia (ACRN) in asymptomatic adults, based on which colorectal cancer screening could be customized. METHODS: We collected data on 26 clinical and laboratory parameters, including age...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Hyo-Joon, Cho, Chang Woo, Jang, Jongha, Kim, Sang Soo, Ahn, Kwang-Sung, Park, Soo-Kyung, Park, Dong Il
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Association of Internal Medicine 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273821/
https://www.ncbi.nlm.nih.gov/pubmed/33092313
http://dx.doi.org/10.3904/kjim.2020.020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273821/
https://www.ncbi.nlm.nih.gov/pubmed/33092313
http://dx.doi.org/10.3904/kjim.2020.020

Ejemplares similares