Please use this identifier to cite or link to this item:
https://repository.unad.edu.co/handle/10596/33160
Title: | A Web-based Fuzzy Inference System Based Tool for Cardiovascular Disease Risk Assessment |
metadata.dc.creator: | Yunda, Leonardo Pacheco, David Millan, Jorge |
Keywords: | Cardiovascular risk assessment;Evidence Based Medicine;Fuzzy Logic |
Publisher: | Universidad Colegio Mayor de Cundinamarca |
metadata.dc.relation: | https://hemeroteca.unad.edu.co/index.php/nova/article/view/1712/1965 |
metadata.dc.format.*: | application/pdf |
metadata.dc.type: | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion info:eu-repo/article/published info:eu-repo/article/published info:eu-repo/article/published |
Description: | 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. |
metadata.dc.source: | NOVA Biomedical Sciences Journal; Vol. 13 No. 24 (2015); 7-16 Nova; Vol. 13 Núm. 24 (2015); 7-16 NOVA Ciências Biomédicas Publicação; v. 13 n. 24 (2015); 7-16 2462-9448 1794-2470 |
URI: | https://repository.unad.edu.co/handle/10596/33160 |
Other Identifiers: | https://hemeroteca.unad.edu.co/index.php/nova/article/view/1712 10.22490/24629448.1712 |
Appears in Collections: | Revista Nova |
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