Algoritmi R&D Centre, University of Minho, Campus of Gualtar, 4710-057, Braga, Portugal.
J Integr Bioinform. 2021 Mar 29;18(2):127-138. doi: 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.
尽管人们越来越意识到其严重性，以及采取预防习惯的重要性，但心血管疾病仍然是全球范围内的主要死因。大多数人已经认识到，健康的生活方式，包括均衡的饮食和体育锻炼，对于预防这种疾病至关重要。然而，由于很少有简单的机制可以进行自我评估和持续监测心脏健康水平，人们对自己的心血管健康状况并没有足够的意识。在这种情况下，本文提出并描述了一种与创建心脏健康指数相关的工具，该工具允许快速直观地监测和可视化用户的心血管健康水平随时间的变化。为了实现这一目标，使用了数据挖掘技术来计算指数，并构建了一个数据仓库来存档数据，并支持构建仪表板以呈现结果。
