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

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Ana Duarte, Orlando Belo
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引用次数: 0

Abstract

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.

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心脏健康指数:监测心血管健康的决策支持工具。
尽管人们越来越意识到心血管疾病的严重性和养成预防习惯的重要性,但心血管疾病仍然是全球死亡的主要原因。大多数人已经认识到,健康的生活方式,包括均衡饮食和体育锻炼,对预防这种疾病至关重要。然而,由于很少有简单的机制可以对心脏健康水平进行自我评估和持续监测,人们对自己的心血管健康状况不够了解。在这种情况下,本文介绍并描述了一种与创建心脏健康指数有关的工具,该工具可以快速、直观地监测和显示用户心血管健康水平的变化情况。在实施过程中,使用了数据挖掘技术来计算指数,并建立了一个数据仓库来存档数据,支持构建仪表板来展示结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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