Abstract
Diabetes Mellitus introduce various diseases that affect the way of using sugar in human body. Sugar plays a vital role as it is the main source of energy for cells that build up muscles and tissues. So, any issue that causes the problem to maintain normal blood sugar in our blood can create serious problems. Diabetes is one of the diseases which results in abnormal sugar level in the blood and can occur due to several problems like bad diet, obesity, hypertension, increasing age, depression, etc. Diabetes can lead to cardiovascular disease, kidney, brain, foot, skin, nerve, hearing impairment and eye damage. From this thinking, in this study, we have tried to build up some rules using Association Rule Mining technique with various diabetes symptoms and factors to predict diabetes efficiently. We have got 8 rules using Apriori Algorithm.
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Tanvir Islam, M., Raihan, M., Farzana, F., Ghosh, P., Ahmed Shaj, S. (2021). An Empirical Study on Diabetes Mellitus Prediction Using Apriori Algorithm. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-15-5148-2_48
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DOI: https://doi.org/10.1007/978-981-15-5148-2_48
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