Abstract:
In modern times, advancement in technology has created a need for evolution in the medical sector. As a result, it is crucial to predict and analyze the various psychological disorders to find their treatment as soon as possible. Thus this evolved the need for Bioinformatics to work with machine learning. In this paper, explored the various machine learning techniques and their implementation for prediction and analysis of various psychological disorders. These machine learning techniques include various methods. During the study of these research papers, it has been observed that although many learning methods have been used on various datasets, high accurate results have been achieved using SVM, KNN and ANN techniques. This manuscript provides an overview of how different machine learning techniques used to predict and analyze various psychological disorders. The research work mentioned here depicts how machine learning techniques used to achieve effective and economic results on various datasets irrespective of content i.e. image, audio or text form.
