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Preventing Cardiovascular Disease Development Establishing Cardiac Well-Being Indexes

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) (PACBB 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1240))

Abstract

Cardiovascular disease is responsible for an alarming number of deaths worldwide. Nowadays more people die of cardiovascular disease than any other type of disease. A considerable number of these deaths is caused by preventable risk factors. Thus, it is necessary to invest in cardiovascular disease prevention and take urgent action to reverse this scenario, reducing risky behaviours. The availability of a tool capable of regularly monitoring cardiac well-being indexes can work as an important means for sensitizing the population and preventing the appearance of preventable risk factors. This paper presents and discusses the implementation of a semi-automatic system capable of returning cardiac well-being indexes. The system allows for evaluating individual indexes of each user over time, considering the influence of past values, as well as for observing global statistics, which can be useful for public health decisions.

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Acknowledgement

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.

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Correspondence to Orlando Belo .

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Duarte, A., Belo, O. (2021). Preventing Cardiovascular Disease Development Establishing Cardiac Well-Being Indexes. In: Panuccio, G., Rocha, M., Fdez-Riverola, F., Mohamad, M., Casado-Vara, R. (eds) Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020). PACBB 2020. Advances in Intelligent Systems and Computing, vol 1240. Springer, Cham. https://doi.org/10.1007/978-3-030-54568-0_8

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