Thyroid disease is considered one of the most common health disorders, which may lead to
various health problems. Recent studies reveal that approximately 42 million people in India …

Simple Summary The study presents a thyroid disease prediction approach which utilizes
random forest-based features to obtain high accuracy. The approach can obtain a 0.99 …

Thyroid disease has been on the rise during the past few years. Owing to its importance in
metabolism, early detection of thyroid disease is a task of critical importance. Despite …

Thyroid Ultrasound (US) is the primary method to evaluate thyroid nodules. Deep learning
(DL) has been playing a significant role in evaluating thyroid cancer. We propose a DL …

Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …

Abstract Disease classification using Artificial Intelligence (AI) is one of the emerging areas
for medical professionals to diagnose the disease. There are common diseases like breast …

To enable state-owned enterprises in Industry 5.0 to better carry out M&A activities, it is
important and necessary to provide early warning of M&A risks, which directly affects the …

There are millions of people suffering from thyroid disease all over the world. For thyroid
cancer to be effectively treated and managed, a correct diagnosis is necessary. In this …

Febrile diseases are highly prevalent in tropical regions due to elevated humidity and high
temperatures. These regions, mainly comprising low-and middle-income countries, often …

The medical information system is rich in datasets, but no intelligent systems can easily
analyse the disease. Recently, ML (Machine Learning)‐based algorithms have acted as a …