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Research on the factors affecting diabetes mellitus based on logistic regression
- 1 School of Applied Statistics, Northeastern University, Qinhuangdao, 066000, China
* Author to whom correspondence should be addressed.
Abstract
In recent years, more and more diabetic patients have appeared all over the world, and people have begun to pay more and more attention to this kind of health problems, and it is a necessary thing to understand the influencing factors related to diabetes mellitus. This study explores the key factors that influence the occurrence of diabetes using multivariate logistic regression analysis and can be used to predict diabetes in individuals. The data for the study was obtained from the Kaggle website and various factors affecting diabetes were analyzed and a multivariate logistic regression model was developed to assess the impact of different factors on the risk of developing diabetes. The study found that good lifestyle habits and better basic personal circumstances the lower the risk of developing diabetes. These findings emphasize the importance of individuals focusing on their daily habits and improving their quality of life, which can help individuals reduce their risk of diabetes, and for those who are potentially at risk of developing diabetes, personal information can be used to make predictions and provide appropriate advice to help them change their bad habits.
Keywords
Diabetes, multiple logistic regression, risk factor, predictive model
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Cite this article
Li,J. (2024). Research on the factors affecting diabetes mellitus based on logistic regression. Theoretical and Natural Science,52,25-30.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of CONF-MPCS 2024 Workshop: Quantum Machine Learning: Bridging Quantum Physics and Computational Simulations
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