Abstract
The biggest reason that accounts to the maximum number of death worldwide are cardiovascular disease. i.e. a huge section of people die due to Cardiovascular (CVDs) than from some other reason. According to WHO survey, nearly 80% of CVD deaths take place in underdeveloped or developing middle-income countries like India. Therefore, there is a great need to predict the disease at a premature phase to combat with this alarming situation. As tremendous quantity of data is generated by healthcare industry the data mining techniques can be efficiently explored to identify hidden patterns and interesting knowledge that may help in effective and efficient decision making. Purpose of this paper is to recommend development of a cloud based decision support system for the prediction and diagnosis of cardiovascular diseases using the methods of machine leaning. This cloud based solution will aid in making healthcare affordable in middle income groups.
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Maini, E., Venkateswarlu, B., Gupta, A. (2019). Applying Machine Learning Algorithms to Develop a Universal Cardiovascular Disease Prediction System. In: Hemanth, J., Fernando, X., Lafata, P., Baig, Z. (eds) International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. ICICI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-03146-6_69
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DOI: https://doi.org/10.1007/978-3-030-03146-6_69
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