Factors That Influence Diabetes Disease: Case Study: Pima Indians

Ni Made Deviani Prisilia ; Adelia Yuniarti ; Citra Annisa Rahmania ; Made Ayu Asri Oktarini Putri ; Made Susilawati
International Journal of Applied Mathematics and C... 📅 2024 Vol 1, No 4 🔗 DOI: 10.62951/ijamc.v1i3.27
Abstract
Diabetes is one of the non-communicable diseases that is considered dangerous due to its susceptibility to complications. This disease is caused by high blood sugar levels in a person's body, which makes the blood more alkaline and slows down the metabolic process. In this study, we observed 8 variables that are considered influential in diabetes and will build a regression model that can predict the response variable (y) through Logistic Regression Analysis. Logistic Regression Analysis is a statistical analysis method used to describe the relationship between a dependent variable with two or more categories and one or more independent variables that are categorical or continuous. Based on the results, the logistic regression model for factors influencing diabetes in the Indian Pima tribe includes variables such as number of pregnancies, glucose level, blood pressure, body mass index, and diabetes pedigree function
Keywords
Regression logistics; Diabetes; Likelihood ratio test; Wald; Hosmer and Lameshow
How to Cite

Ni Made Deviani Prisilia, et al. (2024). Factors That Influence Diabetes Disease: Case Study: Pima Indians. International Journal of Applied Mathematics and Computing, 1(4). https://doi.org/10.62951/ijamc.v1i3.27

Ni Made Deviani Prisilia; Adelia Yuniarti; Citra Annisa Rahmania; Made Ayu Asri Oktarini Putri; Made Susilawati, "Factors That Influence Diabetes Disease: Case Study: Pima Indians," International Journal of Applied Mathematics and Computing, vol. 1, no. 4, 2024.

Ni Made Deviani Prisilia; Adelia Yuniarti; Citra Annisa Rahmania; Made Ayu Asri Oktarini Putri; Made Susilawati. "Factors That Influence Diabetes Disease: Case Study: Pima Indians." International Journal of Applied Mathematics and Computing, vol. 1, no. 4, 2024.

Ni Made Deviani Prisilia; Adelia Yuniarti; Citra Annisa Rahmania; Made Ayu Asri Oktarini Putri; Made Susilawati. "Factors That Influence Diabetes Disease: Case Study: Pima Indians." International Journal of Applied Mathematics and Computing 1, no. 4 (2024).

Ni Made Deviani Prisilia, et al. (2024) 'Factors That Influence Diabetes Disease: Case Study: Pima Indians', International Journal of Applied Mathematics and Computing, 1(4). doi: 10.62951/ijamc.v1i3.27.

Ni Made Deviani Prisilia; Adelia Yuniarti; Citra Annisa Rahmania; Made Ayu Asri Oktarini Putri; Made Susilawati. Factors That Influence Diabetes Disease: Case Study: Pima Indians. International Journal of Applied Mathematics and Computing. 2024;1(4).

Artikel Terkait

Gamified Android Learning to Foster Higher-Order Thinking in Students with ADHD

Susiaty, Utin Desy; Chandra Lesmana

Analysis of Bottled Water Brand Market Share Using the Markov Chain Method in the Faculty of Mathematics and Natural Sciences, Udayana University

Silvia Helena Ngantung; Ni Luh Putu Marina Atlanticia; Ni Made Jenni Prabayanti

Using Mathematical Programming to Analyze and Improve Robust Queue Management in Healthcare Systems

Hasanain Hamed Ahmed

Algorithmic Simulation for Optimization in Combinatorial Mathematics Using Heuristic Techniques

Ahmad Budi Trisnawan; Syed Asif Ali; Erlita Sulistiati

Numerical Analysis and Computational Algorithms in the Simulation of Integral Equations in Applied Mathematics

Jimmi Ari Duri; Yuniana Cahyaningrum; Syed Anfal Asif

Identification of Risk Factors for Chronic Kidney Disease Using Binary Logistic Regression

Kosasih, Eva; Asmara Santhi, Ni Kadek Wulanda; Febriyanti, Ni Wayan Atik; Br Barus, Eka Valencia; Susilawati, Made
Tren Sitasi Jurnal