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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 8, ISSUE 3, MARCH 2021

Prediction of Thyroid Disease Using Machine Learning Techniques

Srinidhi C R, Dr. Prabha R

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Abstract: The most important technique in Machine Learning is Classification. There are Various diseases that can be diagnosed early and can be treated at early Stage. Example, Thyroid diseases. Random Forest Technique is used to identify the type of thyroid using Anaconda and Python Programming Language to implement the Random Forest Algorithm.

Keywords: Machine learning techniques, Python, Random Forest Algorithm, Disease Prediction.

How to Cite:

[1] Srinidhi C R, Dr. Prabha R, “Prediction of Thyroid Disease Using Machine Learning Techniques,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2021.8318

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