Abstract
Cure for diseases involves analyzing the right cause, so that a treatment can be done by observing the symptoms. Accurate symptoms can be obtained by conducting appropriate medical checkup. Due to the quality of present livelihood, it is essential to diagnose diseases in regular intervals through routine checkups and to have knowledge of how one disease can lead to another. There are different types of data mining techniques, which can be efficiently utilized to recognize heart and cancer diseases. The result can be used to detect the presence or recurrence of a disease. This report brings out the correlation between heart and cancer diseases by identifying the common community health status indicators (CHSI). Productive conclusion on heart and cancer diseases is given by testing the various data mining algorithms. The major aim of the work is to implement data mining techniques to cluster states of the USA on the basis of deaths due to heart and cancer disease and to find out the main cause of the death due to these diseases.
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Varier, N.S., Vuppala, S., Boggarapu, R., Mohapatra, A., Khare, S. (2021). Analyze and Visualize the Correlation Between Heart and Cancer Diseases Using Data Mining Techniques. In: Paprzycki, M., Thampi, S.M., Mitra, S., Trajkovic, L., El-Alfy, ES.M. (eds) Intelligent Systems, Technologies and Applications. Advances in Intelligent Systems and Computing, vol 1353. Springer, Singapore. https://doi.org/10.1007/978-981-16-0730-1_12
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