Data analysis model to categorize the level of cardiovascular risk in the Department of Atlantico-Colombia

Authors

  • Paul Sanmartin Universidad Simón Bolívar
  • Luis Consuegra Universidad Simón Bolívar
  • Diana Heredia Universidad Simón Bolívar
  • Moinca Huerta Universidad Politécnica Salesiana

DOI:

https://doi.org/10.32397/tesea.vol6.n2.828

Keywords:

Cardiovascular disease, cardiovascular risk factors, cardiovascular prediction models

Abstract

This article proposes a model based on data analysis to categorize the level of cardiovascular risk in department of Atlantico-Colombia. In the process, the fundamental concepts on which this research proposal was based were identified. As a result, different risk estimation methods were identified according to the region where the studies were carried out; therefore, it was necessary to determine the most appropriate method for the target population of the proposed model, determining a cardiovascular risk prediction model validated in Colombia. To develop the model, we took into account the basis of the concepts and previous studies on cardiovascular risk estimation, identifying during the process the elements involved in the data analysis process, determining the components of the model and characterizing the functional relationships between them.

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Published

2026-01-14

How to Cite

Sanmartin, P., Consuegra, L., Heredia, D., & Huerta, M. (2026). Data analysis model to categorize the level of cardiovascular risk in the Department of Atlantico-Colombia. Transactions on Energy Systems and Engineering Applications, 6(2), 1–17. https://doi.org/10.32397/tesea.vol6.n2.828

Issue

Section

Special Section: Digital Transformation and Industry 4.0 Management