Cognitive Behavioural Therapy to Compute Psychological Illness of Students by Using an Expert System Syeda Huma Jabeen 1* , Muhammad Ejaz Sandhu 1 , Faiza Tahir 1 , Amadullah M 1 , Noshaba Noureen 1 , Sehrish Munawar Cheema 1 , Saad Salman 1 , Rida Ali 1 , Dr. Nadeem Ahmed 2 and Zeeshan Maqsood 2 1 Faculty of Computing and Information Technology, University of Sialkot, Pakistan 2 Department of Quantitative Methods, University of Management and Technology, Lahore, Pakistan * Corresponding author: Syeda Huma Jabeen, Faculty of Computing and Information Technology, University of Sialkot, Pakistan, Tel: 943040461989; E-mail: hjabeen2@gmail.com Rec Date: July 06, 2018; Acc Date: August 27, 2018; Pub Date: August 31, 2018 Copyright: © 2018 Jabeen SH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract Objective: This research is being conducted to develop a technological solution for mentally distorted students. Though the mental health of university students is known globally as a momentous public health matter. Academicals and social stresses are playing quite a negative role in university student’s life, especially in forms of mental illness like stress, depression, and anxiety. These mental health issues are becoming a major constraint towards their studies and career. Method: Psychologist used different scales to measure a level of mental disorder. However, to measure such a disease level, we are working on a knowledge-based expert system that will be used to compute its level among the students who are affiliated with technological studies. Mostly psychologist does psychotherapy and use other instruments to cure such a patient for which they must have to visit the psychologist. However, if the psychologist is not available especially in remote areas then the expert system can be used as reciprocal. In order to make our expert system more validate and authentic the knowledge of psychological expert will be used under the process of development. Results: Data from 500 technological University Students are collected from one of the universities in Sialkot, Pakistan. Almost more than 200 students remained clear minded and fall under the normal state of depression and 122 students in case of Anxiety remained normal. 206 students out of 500 were responders to the abnormal stage of anxiety on a 5-point scale from an average of 4.5 points. On the basis of this, an expert system is being designed to facilitate the students. Conclusion: As per results, 30% - 35% students were in the range of abnormality. Therefore, we are further going to develop an evaluation mechanism by using technological ways so that an expert system can replace a psychologist. Keywords: Anxiety; Depression; Expert system; Mental health; Artifcial intelligence Introduction Mental health is very important in all phases of lifecycle and it comprises of the emotional, mental and social welfare of each individual. Te performance of an individual depends upon its mental health, if the mental health is good then the performance will be high in general work life or as a student or in business. Certain stresses, social pressures or family disturbances may have impact on performance. It has been observed that student’s performance also sufers due to these stresses, therefore, there is a need to evaluate such stresses during study period and it is required to design such systems which can evaluate and provide relief to the students so that they can perform well. Tis study has been conducted for the technological students of a university in Sialkot, Punjab, Pakistan. Students facing peer ill-treatment such as mistreatment habitually show symbols of sufering and these practices can interoperate students’ comfort and make them further defenseless to mental health hitches [1]. Each person’s mental health may regulate in what way that person can knobs stress, relays to others, and select the option as per scenarios. It depicts how one refects, feels, and acts [2]. Marvelous growth has thru in emerging Empirically Supported Interventions (ESIs) to indorse optimistic psychological health results for youngsters. Tough acceptance, eminence employment, and accountability of these ESIs in actual arena situations continues to hold-up behindhand [3,4]. Artifcial Intelligence, preliminary in the expansion of e-science [5,6], is the topmost technology newly recognized as valuable inside healthcare and is predictable to “support healthcare physicians by means of medical data that is clinically pertinent instantaneous distinction information.” [5]. By 2025, AI is likely to be afected in 60% of international hospitals and 90% of US insurance corporations. Stimuli for AI comprise enhanced patient results, condensed treatment charges, and patient core plans of treatment. AI supports treatment policies of Directly Observed Terapy (DOT) can leads towards a progress of patient J o u r n a l o f D e p r e s si o n a n d A n x i e t y ISSN: 2167-1044 Journal of Depression and Anxiety Jabeen et al., J Depress Anxiety 2018, 7:4 DOI: 10.4172/2167-1044.1000315 Research Article Open Access J Depress Anxiety, an open access journal ISSN: 2167-1044 Volume 7 • Issue 4 • 1000315