This paper focuses on early-stage prediction of Thyroidism, particularly among young
women, due to sedentary and stressful modern lifestyles. Various machine learning …

The detection and prognosis of diseases is one of the most significant uses of machine
learning. Recently, disease classification and identification have benefited greatly and been …

In Health Care Systems to deal with the huge amount of data, Machine Learning algorithms
play the vital role for earlier disease detection and prediction. In recent years, the most …

Thyroid ailment is a common endocrine disease that affects millions of people around the
world. For effective treatment, accurate diagnosis and prediction are essential. The efficiency …

Diagnosis of the disease is a crucial stage as it leads to the patient's proper treatment.
Thyroid disease is one of the most chronic endocrine illnesses. The thyroid gland becomes …

Machine Learning Algorithm aims at providing computational method for accumulating,
changing and updating knowledge in health care systems. In particular learning mechanism …

Thyroid disease is the general concept for a medical problem that prevents one's thyroid
from producing enough hormones. Thyroid disease can affect everyone—men, women …

Thyroid disease is becoming increasingly common around the world. Tension, infection,
trauma, toxins, a low-calorie diet, and intake of excess medications have a negative effect on …

Thyroid disease arises from an anomalous growth of thyroid tissue at the verge of the thyroid
gland. Thyroid disorderliness normally ensues when this gland releases abnormal amounts …

This paper is being written to provide a source of reference for the research scholars who
want to work in the area of prediction of thyroid disease. From the different machine learning …