Analysis of Different Machine Learning Techniques used in the Detection and Prediction of Thyroid Disease

Authors

  • Aarathi Rajagopalan Nair Student, Department of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, India
  • Himangi Pande Faculty, Department of Computer Science and Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, India

Keywords:

Thyroid disease, Machine learning, Support vector machine, KNN, PNN, ANN

Abstract

When a sufficient amount of hormone is not produced in the body, this state is generally termed thyroid disease. The thyroid is the hormone responsible for the smooth functioning of the body. Ever since the application of data science in the medical domain researchers are putting their heart and soul to detect thyroid diseases. Through this paper, we are trying to review certain work done by different researchers cooperating the machine learning algorithms.   We try to study the dataset, consider the features and accuracy of different models.

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Published

07-01-2022

Issue

Vol. 3 No. 1 (2022)

Section

Articles

License

Copyright (c) 2022 Aarathi Rajagopalan Nair, Imangi Pande

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
A. Rajagopalan Nair and H. Pande, “Analysis of Different Machine Learning Techniques used in the Detection and Prediction of Thyroid Disease ”, IJRAMT, vol. 3, no. 1, pp. 15–18, Jan. 2022, Accessed: Dec. 04, 2024. [Online]. Available: https://journals.ijramt.com/index.php/ijramt/article/view/1656