A Comparison of Classification Techniques on Thyroid Detection Using J48 and Naive Bayes Classification Techniques
Proceedings of the International Conference on Intelligent Computing Systems (ICICS 2017 – Dec 15th - 16th 2017) organized by Sona College of Technology, Salem, Tamilnadu, India
12 Pages Posted: 19 Mar 2018
Date Written: November 15, 2017
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
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