Abstract
Nowadays, many patients are visiting hospitals with different kinds of diseases. Out of all, heart disease is very critical and needs immediate attention from doctors. Cardiovascular diseases are in increasing trend among all ages, not only in India but also across the globe. Once a patient experience some inconvenience such as burning, pain in the chest does not necessarily lead to heart disease but attention has to be paid towards these kinds of health issues. In general, patients undergo ECG or MRI, CT scanning on the advice of a doctor for the detection of their health problems. Therefore, in this work, an attempt is made to introduce technology in the healthcare industry especially to the section related to cardiovascular diseases. An efficient high utility itemset mining, a data mining algorithm is used to predict the cardiovascular disease of a patient based on the data collected in the laboratory by asking a patient to perform various activities. After analysis, the patient will receive an email alert, if the disease is detected which helps the patient to rush to the hospital for medical attention. Thus, problems related to cardiovascular diseases can be predicted and human lives can be saved.
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Aditya, D.V.S.S., Mohapatra, A. (2020). Prediction of Cardiovascular Diseases Using HUI Miner. In: Gunjan, V., Suganthan, P., Haase, J., Kumar, A., Raman, B. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-1632-0_3
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DOI: https://doi.org/10.1007/978-981-15-1632-0_3
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