Diabetes is an overall global health problem that impacts millions of people worldwide, with a disproportionate impact on low- and middle-income countries. Mexico, in particular, has a high prevalence of diabetes among its population. In 2021, Mexico was ranked 7th in the world for the highest number of diabetic adults by the International Diabetes Federation. This has led to a country’s health system crisis and is a cause for concern. In the research, machine learning techniques and data analysis were used to establish the specific relationship between the habits of Mexican diabetic patients and the development of complications associated with this condition. Arising from the increasing incidence of diabetes in Mexico and its association with health complications in patients, understanding how specific habits can influence the progression of the disease provides a valuable tool to promote changes in patient behavior to prevent adverse events. The results obtained provide a clear understanding of how certain habits of diabetic patients are directly linked to the development of complications such as heart attacks, vision loss, and amputations, among others.