UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304A81


Registration ID:
513943

Page Number

k575-k580

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Title

Detection of thyroid disorder using machine learning approach

Abstract

In India, 42 million people suffer from diseases such as thyroid. Humans have a vascular gland called the thyroid that is one of the most important organs in their bodies. Two hormones are secreted by this gland, which function to control the body's metabolism. There is an imbalance in the body's metabolism when this disorder arises because specific hormones are secreted. Using Machine Learning, this project is designed to detect thyroid diseases in humans. Importing the dataset is accomplished through a User Interface. Three different machine learning algorithms are used to construct the model to detect thyroid disease. In this study, SVM, Random Forest, and Naïve Bayes are machine learning techniques used to identify thyroid illness. Using three machine learning algorithms, the accuracy of the model is shown. The most effective machine learning algorithm for detecting thyroid disease has been chosen among the various algorithms that have been used.

Key Words

Thyroid, Machine learning, Random Forest, SVM, Naïve Bayes.

Cite This Article

"Detection of thyroid disorder using machine learning approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k575-k580, April-2023, Available :http://www.jetir.org/papers/JETIR2304A81.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Detection of thyroid disorder using machine learning approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk575-k580, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A81.pdf

Publication Details

Published Paper ID: JETIR2304A81
Registration ID: 513943
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: k575-k580
Country: banglore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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