A Psychology Expert System to Determine the Level of Stress in Subjects

##plugins.themes.bootstrap3.article.main##

  •   Ali Mirzapour

Abstract

As programs that imitate an expert’s behavior in a specific area, expert systems can be used, trusted and influential in different areas due to the modeling of the human’s logic and reasoning system, and similarity of the sources of knowledge used by them. In the absence of experts, the intelligent software can measure the level of stress in individuals to a relatively reliable level. The design of intelligent systems in psychological counseling is of great importance due to the impact of this field on the various areas of today's life. The present paper aims to describe how to design and implement a psychology expert system to determine the level of stress in different people using MATLAB software. As one of the most popular psychological tests to determine the level of anxiety, depression and stress in different individual, this test is conducted based on the DASS-21 test, which deduct the result depending on the rules defined and the responses received from the user and determines the level of stress of the individual.


Keywords: Psychology Expert System, Stress Assessment, level of stress, MATLAB software

References

A.V. Saurkar., and H.N. Watane. An expert system for diseases diagnosis in pet, vol.2, 1, pp.18-21, 2012.

M. Mirmozaffari and A. Alinezhad, " Ranking of Heart Hospital s Using

cross-efficiency and two-stage DEA," 7th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, 2017, pp. 217.

S.M. Bucura, M. Chibeleana, A. Gligorb and M. Pacurara, Expert system for determining the level of stress before pediatric dental treatment, The 7th International Conference Interdisciplinarity in Engineering, Procedia Technology 12 (2014) 548 – 557.

A. Boss, J. Hoogstraten, and B. Prahl-Andersen. On the use of personality characteristics in predicting compliance in orthodontic practice. Am J Orthod Dentofacial Orthop 2003, 123: 569-572.

M. Mirmozaffari, “Presenting a Medical Expert System for Diagnosis and Treatment of Nephrolithiasis”, EJMED, vol. 1, no. 1, May 2019.

M. Mirmozaffari, “Developing an Expert System for Diagnosing Liver Diseases”, EJERS, vol. 4, no. 3, pp. 1-5, Mar. 2019.

O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli, "A Fuzzy-based Control Scheme for Recapturing Waste Energy in Water Pressure Reducing Valves", IEEE Power and Energy Society General Meeting (PESGM), Portland, OR, USA, Aug 2018.

M. Etribi, Expert Systems Approaches for Decision Support in Health Care, Proceeding of the Twelfth Annual Conference of the Production and Operations Management Society, 2001.

S. Amin-Nejad, T. A. Gashteroodkhani, K. Basharkhah. "A Comparison of MVDR and LCMV Beamformers’ Floating Point Implementations on FPGAs." Wireless Personal Communications, vol. 98, no.2, pp.1913-1929, 2018.

M. Mirmozaffari, "Eco-Efficiency Evaluation in Two-Stage Network Structure: Case Study: Cement Companies". Iranian Journal of Optimization (IJO). Dec. 16, 2018.

Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

How to Cite
Mirzapour, A. (2019). A Psychology Expert System to Determine the Level of Stress in Subjects. European Journal of Medical and Health Sciences, 1(2). https://doi.org/10.24018/ejmed.2019.1.2.26