A self‐evaluated predictive model: A Bayesian neural network approach to colorectal cancer diagnosis

A self‐evaluated predictive model: A Bayesian neural network approach to colorectal cancer diagnosis

Abstract Artificial intelligence has shown immense potential in cancer prediction, but existing models cannot estimate prediction uncertainty by themselves. Here, we developed a Bayesian neural network (BNN) model, BNN‐CRC15, for colorectal cancer (CRC) prediction while assessing its reliability. Th...

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Bibliographic Details
Main Authors: Jie Guo, Zihao Wu, Yin Jia, Hongwei Cao, Qin Qin, Tingting Sun, Xinru Zhou, Xue Pan, Cheng Hua, Chuanbin Mao, Shanrong Liu
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:View
Subjects:
artificial intelligence
Bayesian neural network
colorectal cancer
routine laboratory tests
uncertainty quantification
Online Access:https://doi.org/10.1002/VIW.20230050

Internet

https://doi.org/10.1002/VIW.20230050

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