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All Journal EKSAKTA: Journal of Sciences and Data Analysis EIGEN MATHEMATICS JOURNAL Square : Journal of Mathematics and Mathematics Education Parameter: Jurnal Matematika, Statistika dan Terapannya Emerging Statistics and Data Science Journal Amalgamasi: Journal of Mathematics and Applications
Amri, Ihsan Fathoni
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Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Education Materials Science & Nanotechnology Mathematics Physics

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Journal : EKSAKTA: Journal of Sciences and Data Analysis

 1 
Itu Analisis faktor kejadian batu empedu menggunakan model regresi logistik biner. Amri, Ihsan Fathoni; Rohim, Febrian Hikmah Nur; Nurul Azka, M. Ilham; Rakhmawati, Muji Silvi
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 6, ISSUE 2, October 2025
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol6.iss2.art3

Abstract

Gallstone disease (cholelithiasis) is a digestive system disorder with a globally increasing prevalence. This study aims to identify risk factors contributing to the occurrence of gallstones using a logistic regression model. The data were obtained from the UC Irvine Machine Learning Repository, comprising a total of 319 outpatients from Ankara VM Medical Park Hospital, Turkey. The analysis was conducted on 23 independent variables, including demographic characteristics, body composition, medical history, and laboratory results. The Chi-Square test identified four significant variables, while the Wald test revealed six statistically significant predictors of gallstone occurrence: age, comorbidities, diabetes mellitus, visceral fat rating, visceral fat area, and vitamin D levels. Diabetes mellitus emerged as the most dominant risk factor (OR = 11.5), whereas higher levels of vitamin D showed a protective effect. The logistic regression model demonstrated a classification accuracy of 77%, indicating good predictive performance. These findings are expected to support early detection, clinical decision-making, and preventive interventions for more effective gallstone prevention.
Co-Authors Abidah, Khansa Ni'mal Adhwaningrum, Arullah Salsabila Ainurrofiah, Safira Al Haris, M. Ayu Wulandari Choirudin, Mochamad Fahmi Diani, Nandini Lova Haris, M. Al Irawan, Alfian Chandra Khikman, Muhammad Alvaro Kholifah , Revika Inta Nur Kinanta, Ailsha Syafa M. Al Haris Multiyaningrum, Riska Nurohmah, Nufita Nurul Azka, M. Ilham Pratama, Rifin Fadilla Rakhmawati, Muji Silvi Ramadhan, Wulan Nur Rohim, Febrian Hikmah Nur Sa'adah , Lydia Nur Safira, Elfina Latifah Saputri, Atika Dwi Sarah, Albertus Dion Sari, Selvi Ana Windia Sidqi, Isnaeni Miftahul Syaharani, Nabbila Dyah Wahid, Siti Nurasriyanti Watur, Annisa Cahyaningrum Widyasari, Velia Arni Wulan Sari