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International Conference on Innovative Computing and Communications pp 539–550Cite as

An Empirical Study on Diabetes Mellitus Prediction Using Apriori Algorithm

Part of the Advances in Intelligent Systems and Computing book series (AISC,volume 1166)

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.

Keywords

  • Diabetes mellitus
  • Diabetes prediction
  • Machine learning
  • Association rule mining
  • Apriori algorithm

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Author information

Authors and Affiliations

  1. North Western University, Khulna, Bangladesh

    Md. Tanvir Islam, M. Raihan, Fahmida Farzana, Promila Ghosh & Shakil Ahmed Shaj

Authors
  1. Md. Tanvir Islam
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  2. M. Raihan
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  3. Fahmida Farzana
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  4. Promila Ghosh
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  5. Shakil Ahmed Shaj
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Corresponding author

Correspondence to M. Raihan .

Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Dr. Deepak Gupta

  2. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Dr. Ashish Khanna

  3. CHRIST (Deemed to be University), Bengaluru, Karnataka, India

    Prof. Dr. Siddhartha Bhattacharyya

  4. Department of Information Technology, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Dr. Aboul Ella Hassanien

  5. Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Rohini, Delhi, India

    Dr. Sameer Anand

  6. Department of Computer Science, Shaheed Sukhdev College of Business Studies, University of Delhi, Rohini, Delhi, India

    Dr. Ajay Jaiswal

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Cite this paper

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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