Medical information systems such as Internet of Medical Things (IoMT) are gained special
attention over recent years. X-ray and MRI images are important sources of information to be …

In this paper, we present an effective and efficient computer aided diagnosis (CAD) system
based on principle component analysis (PCA) and extreme learning machine (ELM) to …

In this paper, we present a three-stage expert system based on a hybrid support vector
machines (SVM) approach to diagnose thyroid disease. Focusing on feature selection, the …

The thyroid, an endocrine gland that secretes hormones in the blood, circulates its products
to all tissues of the body, where they control vital functions in every cell. Normal levels of …

This paper presents a comprehensive study of investigating the performance of different
machine learning algorithms in the diagnosis of thyroid disease. Detecting thyroid disease at …

Thyroid disease is spreading very rapidly among women after the age of 30 years.
Therefore, it is necessary to examine the thyroid dataset for predicting the disease at early …

Proper interpretation of the thyroid gland functional data is an important issue in the
diagnosis of thyroid disease. The primary role of the thyroid gland is to help regulation of the …

Thyroid hormones produced by the thyroid gland help regulation of the body's metabolism.
Abnormalities of thyroid function are usually related to production of too little thyroid …

In this paper, we present an enhanced fuzzy k-nearest neighbor (FKNN) classifier based
computer aided diagnostic (CAD) system for thyroid disease. The neighborhood size k and …

Tuberculosis is an infectious disease, caused in most cases by microorganisms called
Mycobacterium tuberculosis. Tuberculosis is a great problem in most low income countries; …