Stacked random forest model for colorectal cancer detection using complete blood counts

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Stacked random forest model for colorectal cancer detection using complete blood counts

Background In China, adherence to screening colonoscopy among eligible individuals remains suboptimal, primarily due to cost concerns and potential adverse effects. A machine learning model utilizing complete blood count (CBC) data could help prioritize colonoscopy referrals and improve screening pa...

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Bibliographic Details
Main Authors:	Junfeng Luo, Weiwei Tan, Shaobo Chen, Yijing Chen, Ya Fu, Xiaojuan Jing, Lingling Kang, Qingyun Li, Zhenjian Ma, Tingji Sun, Peng Xiao, Shigui Xue, Xiaozhi Wang, Houde Zhang
Format:	Article
Language:	English
Published:	SAGE Publishing 2025-07-01
Series:	Digital Health
Online Access:	https://doi.org/10.1177/20552076251362072
Tags:	Add Tag No Tags, Be the first to tag this record!

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