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

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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Publication Details

Journal
Transactions on Energy Systems and Engineering Applications
Published
2026-01-14
DOI
https://doi.org/10.32397/tesea.vol6.n2.828
Primary Topic
Geological and Tectonic Studies in Latin America
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Moinca Huerta, Paul Sanmartin, Luis Consuegra, Diana Heredia
Transactions on Energy Systems and Engineering Applications
Geological and Tectonic Studies in Latin America
article

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

Moinca Huerta, Paul Sanmartin, Luis Consuegra, Diana Heredia
article en

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.

Transactions on Energy Systems and Engineering ApplicationsVol. 6(2)
Politecnica Salesiana University (EC)
Ministério da Ciência, Tecnologia e Inovação
Good health and well-being
Openalex Percentile: Top 91%
Geological and Tectonic Studies in Latin America
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