A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment

Leonardo Yunda; David Pacheco; Jorge Millan

doi:10.22490/24629448.1712

Vol. 13 No. 24 (2015)

Published

2015-12-15

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Yunda, L., Pacheco, D., & Millan, J. (2015). A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment. NOVA Biomedical Sciences Journal, 13(24), 7-16. https://doi.org/10.22490/24629448.1712

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A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment

DOI: https://doi.org/10.22490/24629448.1712

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Research Article (before OJS)

Leonardo Yunda Universidad Nacional Abierta y a Distancia UNAD, Bogotá, Colombia

David Pacheco

Jorge Millan Universidad Nacional Abierta y a Distancia UNAD, Bogotá, Colombia

Developing a Web-based Fuzzy Inference Tool for cardiovascular risk assessment. The tool uses evidence-based medicine inference rules for membership classification. Methods. The system framework allows adding variables such as gender, age, weight, height, medication intake, and blood pressure, with various types of membership functions based on classification rules. Results. By inputting patient clinical data, the tool allows health professionals to obtain a prediction of cardiovascular risk. The tool can also be later used to predict other types of risks including cognitive and physical disease conditions.

Cardiovascular risk assessment, Evidence Based Medicine, Fuzzy Logic

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