Description of Invention
A medical disorder known as thyroid illness impacts the action of thyroid gland by preventing the thyroid from producing the appropriate quantity of hormones [1]. There are different types of thyroid diseases such as hyperthyroidism, hypothyroidism, thyroid cancer, etc. [2]. Thyroid disease may result to number of health issues when not treated properly at the earlier stage. Hybrid fuzzy logic approaches has brought many beneficials to the medical data classification problems such as reasoning on uncertain or incomplete data. The machine learning algorithms had been used with the fuzzy expert systems to define the fuzzy rule base. Enhancing the machine learning algorithms and optimization techniques that are integrated with the fuzzy logic method can improve the overall performance of the fuzzy expert system. To enhance the integration of machine learning algorithm and fuzzy logic method for diagnosis of thyroid disease, an incremental learning based parallel fuzzy reasoning system (IL-PFRS) is presented in this research.