Volume 18, Special Issue on Artificial Intelligence in Cloud Computing, 2021
A Review on Neuro-Fuzzy System in the Diagnosis of Psychiatric Disorder
Chandrabhan Singh, Prof. (Dr.) Mohit Gangwar and Dr. Upendra Kumar
Abstract
Psychiatric disorders are a kind of psychological disorders characterized by vital feelings of anxiety and fear. Lately, the evolution of advance methods helps significantly to produce resources helping physicians to foresee psychological problems as well as help patient care. In this particular review paper, a study was done on investigation for the prediction of certain kinds of psychiatric disorders using neuro-fuzzy methods. Research had been selected as well as analyzed, revealing that neuro-fuzzy methods may be utilized for efficiently forecasting psychiatric problems. The precision of the outcomes differs based on the kind of the type of psychiatric disorder of strategies used for predicting the condition. We are able to deduce that single method cannot work well and has been accomplished on the prediction of psychiatric disorder using neuro-fuzzy methods. Nevertheless, with the help of advance research, we might achieve higher accuracy scores which can result in a much better support for patients.
Pages: 164-182
DOI: 10.14704/WEB/V18SI01/WEB18052
Keywords: Psychiatric Disorder, Neuro-Fuzzy System, Artificial Intelligence, Soft Computing, Intelligent Computing.