Refining the Feasibility of Machine‐Learning‐Based Diagnostic Model Utilizing Gut Microbiota Analysis for Colorectal Cancer Screening

Refining the Feasibility of Machine‐Learning‐Based Diagnostic Model Utilizing Gut Microbiota Analysis for Colorectal Cancer Screening

ABSTRACT Background Recently, we developed a colorectal cancer (CRC) diagnostic model based on a machine learning algorithm with gut microbiota analysis. In this study, we evaluated the reproducibility of the diagnostic accuracy of the gut microbiota model, compared the diagnostic accuracy of the gu...

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Bibliographic Details
Main Authors: Shintaro Okumura, Yusuke Konishi, Taku Kitano, Tomonori Matsumoto, Kazutaka Obama, Satoshi Nagayama, Eiji Hara
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Cancer Medicine
Subjects:
colorectal cancer
gut microbiota analysis
machine‐learning algorithm
screening
Online Access:https://doi.org/10.1002/cam4.70935
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https://doi.org/10.1002/cam4.70935

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