Article

Optimizing a Interpretable Diagnostic Model for Colorectal Cancer Based on Yin Deficiency Pattern Characteristic Genes Using 21 Machine Learning Algorithms and Bayesian Opitimization

2023-10-13

Abstract excerpt

<title>Abstract</title> <p>In this study, we aimed to identify a core set of Yin Deficiency Pattern (YDP) genes for predicting colorectal cancer (CRC) and to construct reliable machine learning models optimized by Optuna. Comprehensive analysis was performed on nine datasets, totaling 1,680 samples. A CRC diagnostic prediction model was developed by comparing 21 machine learning classification models with Optuna...

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Literature Corpus work: ebad6ec4-9497-591e-a831-2bebaf27f86a
DOI: 10.21203/rs.3.rs-3430999/v1

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