Abstract
The coronary heart stroke rates are increasing rapidly in people of all ages and gender. Cardiovascular diseases are posing a crucial and critical challenge and also the inaccurate prediction may lead to fatality. Contemporary prediction techniques like machine learning have been a useful approach in predicting these attacks with the help of the healthcare industry. In this paper, different methods are suggested to find a good-sized feature set by applying various prediction techniques which leads to enhancement of accuracy. The predictive model is delivered with various machine learning strategies.
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Rahul, Monika, Ray, P., Kharke, R.B., Chauhan, S.S. (2021). Cardiovascular Disease Classification Using Different Algorithms. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-15-7345-3_16
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DOI: https://doi.org/10.1007/978-981-15-7345-3_16
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