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

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,...

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Bibliographic Details
Main Authors: Hyo-Joon Yang, Chang Woo Cho, Jongha Jang, Sang Soo Kim, Kwang-Sung Ahn, Soo-Kyung Park, Dong Il Park
Format: Article
Language:English
Published: The Korean Association of Internal Medicine 2021-07-01
Series:The Korean Journal of Internal Medicine
Subjects:
colorectal neoplasms
deep learning
big data
risk assessment
mass screening
Online Access:http://www.kjim.org/upload/pdf/kjim-2020-020.pdf

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