Hybrid Model of KNN and PCA to Pre-processor of Thyroid Dataset using Machine Learning.

Nowadays, Thyroid is common disease that affects most of the people due to their modern lifestyle. A Thyroid ailments are the disorders that disturbs the thyroid gland which has a butterfly shape positioned at the front of the neck. The general endocrine carcinoma that may occur in the thyroid gland is Thyroid cancer. This type of cancer might not cause any indications at chief. But as it develops, it can show major signs and symptoms, such as swelling in the neck, voice changes and difficulty in swallowing. An ample effort has been given by many researchers in improving its diagnosis and prognosis. Thyroidectomy is considered as the main treatment method for thyroid problems. This research work mainly focuses on cleansing of thyroid cancer data from the UCI machine learning repository. This cleansing process involves removing the redundant values, impute the missing values, and selecting the best features from the existing fresh medical dataset by applying and comparing the various algorithms. It helps the medical practitioner to make an accurate diagnosis of the thyroid among various people. [ABSTRACT FROM AUTHOR]