Application of Data Science to Discover the Relationship Between Dental Caries and Diabetes in Dental Records

Abstract

German H. Alferez, Jany Jimenez, Hector Hernandez Navarro, Merari Gonzalez, Rusbel Domínguez,Alejandro Briones, and Hector Hernandez Villalvazo

Diabetes is a chronic and metabolic disease. According to the World Health Organization (WHO), 422 million adults suffer from diabetes worldwide. In fact, in 2012 diabetes caused 1.5 million deaths in the world. In Mexico, our country, diabetes is a highly relevant public health problem. For example, in 2015 there were 11 million cases of diabetes. Our contribution is to apply novel data science techniques to medical records at a dental clinic in Northeast Mexico to discover the relationship between diabetes and dental caries. Our research work follows IBM’s data science methodology. The analysis of data was carried out with machine learning. Five experiments were carried out on 193 dental records. Our findings corroborate the results found in related work.

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