Classification of Thyroid Using Data Mining Models: A Comparison with Machine Learning Algorithm
Abstract
Thyroid is a common disorder spreading worldwide and moreover, the middle-aged peoples are affecting especially. Thyroid Disorder increasing today’s upcoming life style in India. Compared to the various study and found million peoples were affected by thyroid. Data mining is playing a vital with machine learning algorithm to found the disorder with better accuracy in 10 Indian adults are affecting with the thyroid hormone problems to meet the needs in a body. It is affecting whole functions in a body and produces thyroid gland; it turns results into the excess in secretion of thyroid hormones. According to the various study, the thyroid disorder about 42 million peoples are affected. The data mining plays a vital role with predicting the thyroid hormone issues using algorithm. The five common thyroid disorders are affecting in India more, they are Goitre, hypothyroidism, hyperthyroidism Khalid S, Sonuç E (J Phys Conf Ser 2021:012140, 2021), Iodine deficiency, Hashimoto’s thyroiditis and thyroid cancer. Machine learning is an artificial intelligence, it aims to enable machine to perform with using Google Colab tool with python. With the comparison of Support Vector Machine, Decision Tree and Naïve Bayes as reported by Tyagi et al. (Interactive thyroid disease prediction system using machine learning technique, 2018). Support Vector Machine results with good accuracy.
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Publication History
Published: 28 February 2024
Accepted: 19 November 2023
Received: 21 March 2023
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