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Enhancing Non-Invasive Colorectal Cancer Screening with Stool DNA Methylation Markers and LightGBM Machine Learning

2024-01-16

Abstract excerpt

<h4>Objective: </h4> This study evaluates the effectiveness of stool DNA methylation markers CNRIP1, SFRP2, and VIM, along with Fecal Occult Blood Testing (FOBT), in the non-invasive screening of colorectal cancer (CRC), further integrating these markers with the Light Gradient Boosting Machine (LightGBM) machine learning (ML) algorithm. <h4>Methods: </h4>: The study analyzed 100 stool samples, comprising 50 CRC...

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Literature Corpus work
4faa430c-39c8-500f-823d-6fbe0be548e2
DOI
10.21203/rs.3.rs-3857174/v1
Open publication

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Enhancing Non-Invasive Colorectal Cancer Screening with Stool DNA Methylation Markers and LightGBM Machine LearningDOI 10.21203/rs.3.rs-3857174/v1
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