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

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posted on 2022-07-19, 03:07 authored by German Alferez, Jany Jiménez, Héctor Hernández, Merari González, Rusbel DominguezRusbel Dominguez, Alejandro Briones, Héctor Hernández

Abstract - Diabetes is  chronic and metabolic disease. According to the World Health Organization (WHO), 422 million of 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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Email Address of Submitting Author

rusbel@um.edu.mx

ORCID of Submitting Author

0000-0002-4250-0826

Submitting Author's Institution

Universidad de Montemorelos

Submitting Author's Country

  • Mexico

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