A Comparison of Classification Techniques on Thyroid Detection Using J48 and Naive Bayes Classification Techniques

12 Pages Posted: 19 Mar 2018

See all articles by S Vidhushavarshini

S Vidhushavarshini

Sona College of Technology

B Sathiyabhama

Sona College of Technology - Department of Computer Science and Engineering

Date Written: November 15, 2017

Abstract

One of the fourth leading diseases in India is thyroid disease which acts as a serious threat to the society as the change in family population, climate, urbanization, food increases the occurrence of change in thyroid hormone simulation which leads to thyroid diseases. The techniques available in the data analytics is a boon for the healthcare industry. The analysis helps in the accurate prediction of diseases, by creating the knowledge prediction model for the patients by analyzing the patient’s history. This help in accurate decision making for the clinicians to diagnose the disease. This paper makes the comparison using J48 and naive Bayes classification techniques to bring the best out of the algorithms based on the efficiency and accuracy.

Keywords: Classification, Thyroid disease, Predictive analysis, healthcare

Suggested Citation

Vidhushavarshini, S and Sathiyabhama, B, A Comparison of Classification Techniques on Thyroid Detection Using J48 and Naive Bayes Classification Techniques (November 15, 2017). Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India. Available at SSRN: https://ssrn.com/abstract=3143380 or http://dx.doi.org/10.2139/ssrn.3143380

S Vidhushavarshini

Sona College of Technology ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

B Sathiyabhama (Contact Author)

Sona College of Technology - Department of Computer Science and Engineering ( email )

Junction Main Road
Suramangalam
Salem, Tamil Nadu 636005
India

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