Cardiac well-being indexes: a decision support tool to monitor cardiovascular health

• Main Authors: Duarte Ana, Belo Orlando
• Format: Article
• Language: English
• Published: De Gruyter 2021-03-01
• Series: Journal of Integrative Bioinformatics
• Subjects: analytical systems; data mining; decision support systems; heart disease prevention; well-being indexes
• Online Access: https://doi.org/10.1515/jib-2020-0040

Despite the increasing awareness about its severity and the importance of adopting preventive habits, cardiovascular disease remains the leading cause of death worldwide. Most people already recognize that a healthy lifestyle, which includes a balanced diet and the practice of physical activity, is essential to prevent this disease. However, since few simple mechanisms allow a self-assessment and a continuous monitoring of the level of cardiac well-being, people are not conscious enough about their own cardiovascular health status. In this context, this paper presents and describes a tool related to the creation of cardiac well-being indexes that allow a quick and intuitive monitoring and visualization of the users’ cardiovascular health level over time. For its implementation, data mining techniques were used to calculate the indexes, and a data warehouse was built to archive the data and to support the construction of dashboards for presenting the results.