A comparison of machine learning models and Cox proportional hazards models regarding their ability to predict the risk of gastrointestinal cancer based on metabolic syndrome and its components
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DOI: 10.3389/fonc.2023.1049787
Abstract: Background Little is known about applying machine learning (ML) techniques to identify the important variables contributing to the occurrence of gastrointestinal (GI) cancer in epidemiological studies. We aimed to compare different ML models to a… read more here.
Keywords: gastrointestinal cancer; cox proportional; machine; machine learning ... See more keywords