Prediction Analysis of Hypothyroidism by Association

Abstract

According to clinical data, ‘1 in 10’ Indians suffer from thyroid disease. Hypothyroidism / Hypothyroidism is an endocrine disorder or condition in which the thyroid gland does not produce enough thyroid hormone. Predicting hypothyroidism in each individual based on profile and behavior is a challenging task in the current field. The current system is a scientific study in which experts suspect hypothyroidism based on symptoms. Hypothyroidism can only be confirmed after a battery of diagnostic tests. There are some populations that require more accurate testing to determine their thyroid status. Approximately 42 million people in India suffer from thyroid disease and hypothyroidism. There is no automation to predict hypothyroidism. System uses the concept of association-rule mining approach to find out the patterns of hypothyroidism. Frequent item set mining in dataset are used for application. The main focus includes minimizing the scanning of dataset and a better time complexity than the popular algorithms. The research tries to weigh all the hypothyroidism attributes indivually and calculate to predict the accuracy of the hypothyroisim. It evolves by analyzing the association that the attribute can contribute towards the occurrence of hypothyroidism.