Work

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

Year: 2026

Type: article

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.

Source: Transactions on Energy Systems and Engineering Applications

DOI: 10.32397/tesea.vol6.n2.828

Authors: Paul Sanmartin, Luis Consuegra, Diana Heredia, Moinca Huerta

Institutions: Universidad Simón Bolívar, Universidad Simón Bolívar, Politecnica Salesiana University

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: Ministério da Ciência, Tecnologia e Inovação