Early prediction of gallstone disease with a machine learning-based method from bioimpedance and laboratory data
İrfan Esen,
Hilal Arslan,
Selin Aktürk Esen
et al.
Abstract:Gallstone disease (GD) is a common gastrointestinal disease. Although traditional diagnostic techniques, such as ultrasonography, CT, and MRI, detect gallstones, they have some limitations, including high cost and potential inaccuracies in certain populations. This study proposes a machine learning-based prediction model for gallstone disease using bioimpedance and laboratory data. A dataset of 319 samples, comprising161 gallstone patients and 158 healthy controls, was curated. The dataset comprised 38 attribu… Show more
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