A hybrid KNN-MLP algorithm to diagnose bipolar disorder

  • Authors

    • Mozhgan Mohammad Ghasemi Department of Computer and Informatics, Payame Noor University, Tehran, Iran
    • Mehdi Khalili Dept. of Computer and Informatics Payame Noor University
    2014-12-25
    https://doi.org/10.14419/jacst.v4i1.3922
  • Bipolar Disorder, MLP, KNN.

  • Abstract

    In this paper an attempt has been made to the other corner of the power of neural networks. According to the neural network in the diagnosis of diseases, we use neural network models for diagnosing bipolar disorder; bipolar disorder is the common disorder of depression mood. We have used two neural network models: MLP & KNN. With different percentages of the implementation of neural network models is discussed. And the error was calculated for each model. We can by using the MLP model achieve an error of 16% for the diagnosis of bipolar disorder.

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  • How to Cite

    Mohammad Ghasemi, M., & Khalili, M. (2014). A hybrid KNN-MLP algorithm to diagnose bipolar disorder. Journal of Advanced Computer Science & Technology (JACST), 4(1), 1-5. https://doi.org/10.14419/jacst.v4i1.3922

    Received date: 2014-11-23

    Accepted date: 2014-12-15

    Published date: 2014-12-25