Machine learning techniques for thyroid disease diagnosis: A systematic review

Abstract

In Disease Diagnosis recognition of patterns is so important for identifying the disease accurately. Machine learning is the field which is used for building the models that can predict the output based upon the inputs which are correlated based upon the previous data. Disease identification is the most crucial task for treating any disease. Classification algorithms are used for classifying the disease. There are several classification algorithms and dimensionality reduction algorithms used. Machine Learning gives the PCs the capacity to learn without being modified externally. By using the Classification Algorithm a hypothesis can be selected from the set of alternatives the best fits a set of observations. Machine Learning is used for the high-dimensional and the multi-dimensional data. Classy and automatic algorithms can be developed using Machine Learning.