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Diabetes Mellitus Risk Prediction Using Artificial Neural Network

Part of the Algorithms for Intelligent Systems book series (AIS)


Diabetes is a non-communicable disease and various types of dangerous diseases like heart attack, kidney failure, myopia, and so on are caused by it. The number of people suffering from diabetes is increasing rapidly. Though there has no perpetual cure for diabetes, it can be controlled by proper counseling and medication. For this perception, an early determination is needed. In our analysis, 464 patients data with 23 features were collected from various health-care units and preprocessed. A predictive model was developed with artificial neural network technique. Different learning rate, hidden layers were applied in our analysis. Average-weighted accuracy of all observations was approximately 99.69%.


  • Diabetes mellitus
  • Artificial neural network (ANN)
  • Machine learning
  • Type-1
  • Type-2
  • Risk factors

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  • DOI: 10.1007/978-981-15-3607-6_7
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Correspondence to M. Raihan .

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Raihan, M., Alvi, N., Tanvir Islam, M., Farzana, F., Mahadi Hassan, M. (2020). Diabetes Mellitus Risk Prediction Using Artificial Neural Network. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore.

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