Machine and Deep Learning Techniques to Classify and Predict Thyroid Diseases

Thyroid disease is a disorder that affects people globally, with women suffering from it at a higher rate than males. Despite having various technologies, it is still difficult to recognize or diagnose such disease early due to the enormous number of cases that emerge each year. As far as artificial intelligence is concerned, it has greatly contributed to the health business by assessing a wide range of illnesses and offering the greatest possible help to patients, doctors, lab workers, and others. Hence, in this review study, we have investigated numerous researchers' approaches for recognizing various thyroid disorders utilizing machine and deep learning models. Moreover, the report had also mentioned their contribution and the challenges that still persist in this field. Our analysis of the different methods proposed has been also provided to draw some conclusions.