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A Study on the Feasibility of Optimizing Gastric Cancer Screening to Reduce Screening Costs in China Using a Gradient Boosting Machine: A prospective, large-sample, single-center study

2024-02-20

Abstract excerpt

<title>Abstract</title> <p>Background and aim: The current cancer screening model in our country involves preliminary screening and identification of individuals who require gastroscopy, in order to control screening costs. The purpose of this study is to optimize the screening process using Gradient Boosting Machines (GBM), a machine learning technique, based on a large-scale prospective gastric cancer screenin...

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Literature Corpus work
1c4593fd-a9b8-530d-9f2a-9c88b58f2446
DOI
10.21203/rs.3.rs-3853941/v1
Open publication

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A Study on the Feasibility of Optimizing Gastric Cancer Screening to Reduce Screening Costs in China Using a Gradient Boosting Machine: A prospective, large-sample, single-center studyDOI 10.21203/rs.3.rs-3853941/v1
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