International Journal of Advanced Research in IT and Engineering
  • Year: 2014
  • Volume: 3
  • Issue: 12

Classical and intelligent computing methods in psychiatry and neuropsychitry: an overview

  • Author:
  • Mohit Gangwar, R. B. Mishra, R. S. Yadav
  • Total Page Count: 24
  • Page Number: 1 to 24

*Ph.D. Research Scholar, Department of CSE, MNNIT, Allahabad, India

**Professor, Department of CSE, IIT-BHU, Varanasi, India

Online published on 22 April, 2015.

Abstract

This review paper presents an overview of the related work in the area of classical and intelligent computing methods in the diagnosis of psychiatric and neuropsychiatric diseases. Overview and related work is concerned with the presentation of various computing methods, reflecting the perspectives of computation and medical diagnosis. The overview and related work is divided in two parts: One for classical (parametric and heuristic methods) and other for intelligent computing methods comprised of rule-based systems/knowledge-based systems, case-based reasoning, neural network, data mining and their combination among themselves & with other parametric & heuristic methods. Total 34 papers review presented in this paper. Out of 34 papers, 4 papers described about the classical methods and rest of the papers described about intelligent computing methods.