Application of Machine Learning and Deep Learning in Thyroid Disease Prediction

Abstract

This chapter discusses the deep learning and machine learning algorithms help us in predicting thyroid disease. The deep learning-based algorithm identifies informative instances and assigns them local malignancy scores that are incorporated into a global malignancy prediction. The deep learning algorithm was also compared to human-level performance. The system uses a gradient descent backpropagation algorithm for training the machine learning model. The system was never made using CNN so it becomes a challenging task whenever we start using or propose a new technology that is being used previously. Deep learning algorithms have nowadays proven to be efficient in predicting various diseases in the healthcare sector. Deep learning is a flexible modeling technique which correctly predicts the data and it is also meant for the prediction of large amounts of data. Diagnosis of thyroid using deep learning is a robust task with respect to different sampling variations.