A comparative study of support vector machine and logistic regression for the diagnosis of thyroid dysfunction

  • Authors

    • Deepthi Gurram
    • M R.Narasinga Rao
    2017-12-21
    https://doi.org/10.14419/ijet.v7i1.1.9714
  • Logistic Regression, Precision, Recall, Support Vector Machine, Thyrotoxicosis.

  • Abstract

    Thyroid is one of the vital diseases that influence individuals of any age group now a day. Infections of the thyroid, incorporate conditions related with extreme release of thyroid hormones (Hyper thyroidism) which is likewise called thyrotoxicosis and those related with thyroid hormone insufficiency (Hypothyroidism). Expectation of these two sorts of thyroid disease is critical for thyroid analysis. In this paper, support vector machines and logistic regression are proposed for predicting patients with thyrotoxicosis and without thyrotoxicosis. The outcomes demonstrate that, logistic regression perform well over support vector machine with 98.92% exactness.

  • References

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  • How to Cite

    Gurram, D., & R.Narasinga Rao, M. (2017). A comparative study of support vector machine and logistic regression for the diagnosis of thyroid dysfunction. International Journal of Engineering & Technology, 7(1.1), 326-328. https://doi.org/10.14419/ijet.v7i1.1.9714

    Received date: 2018-02-25

    Accepted date: 2018-02-25

    Published date: 2017-12-21