Attitude toward the development of psychological disorders diagnosis expert system

Juhaina Al-Sabahi; Muna Al-Abri; Wafa Al-Shihi; Kamla Ali Al-Busaidi

Attitude toward the development of psychological disorders diagnosis expert system

Juhaina Al-Sabahi, Muna Al-Abri, Wafa Al-Shihi, Kamla Ali Al-Busaidi

Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Converting human knowledge, in the field of psychology, to an expert system (ES) was the aim of this study. This developed psychological disorders diagnosis ES prototype covers five psychological disorders, which are the most common in Oman according to the domain experts; these disorders are: Self-Deliberate Harm, Panic Disorder, Social Phobia, Dysthymia and Anorexia Nervosa. The system helps people assess their mental health by identifying the type of the disorder they might possess. The development of such system is very valuable for conservative countries where psychological problems are still not given high recognition and importance, and health privacy, especially psychological health, is still a major concern. This expert system is developed based on the knowledge acquired from human experts in psychology medicine department in a local hospital. After the development of the prototype system, potential users' and other domain experts' attitude toward the system was assessed. This paper discusses the development process of this psychological disorders diagnosis expert system and its potential strengths and risks.

Original language	English
Title of host publication	Vision 2020
Subtitle of host publication	Innovation, Development Sustainability, and Economic Growth - Proceedings of the 21st International Business Information Management Association Conference, IBIMA 2013
Publisher	International Business Information Management Association, IBIMA
Pages	1376-1384
Number of pages	9
Volume	2
ISBN (Print)	9780982148907
Publication status	Published - 2013
Event	21st International Business Information Management Association Conference, IBIMA 2013 - Vienna, Austria Duration: Jun 27 2013 → Jun 28 2013

Other

Other	21st International Business Information Management Association Conference, IBIMA 2013
Country	Austria
City	Vienna
Period	6/27/13 → 6/28/13

Keywords

Disorder
Expert system
Knowledge
Psychology

ASJC Scopus subject areas

Business and International Management
Management Information Systems
Management of Technology and Innovation
Information Systems and Management

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Al-Sabahi, J., Al-Abri, M., Al-Shihi, W., & Al-Busaidi, K. A. (2013). Attitude toward the development of psychological disorders diagnosis expert system. In Vision 2020: Innovation, Development Sustainability, and Economic Growth - Proceedings of the 21st International Business Information Management Association Conference, IBIMA 2013 (Vol. 2, pp. 1376-1384). International Business Information Management Association, IBIMA.

Attitude toward the development of psychological disorders diagnosis expert system. / Al-Sabahi, Juhaina; Al-Abri, Muna; Al-Shihi, Wafa; Al-Busaidi, Kamla Ali.

Vision 2020: Innovation, Development Sustainability, and Economic Growth - Proceedings of the 21st International Business Information Management Association Conference, IBIMA 2013. Vol. 2 International Business Information Management Association, IBIMA, 2013. p. 1376-1384.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Sabahi, J, Al-Abri, M, Al-Shihi, W & Al-Busaidi, KA 2013, Attitude toward the development of psychological disorders diagnosis expert system. in Vision 2020: Innovation, Development Sustainability, and Economic Growth - Proceedings of the 21st International Business Information Management Association Conference, IBIMA 2013. vol. 2, International Business Information Management Association, IBIMA, pp. 1376-1384, 21st International Business Information Management Association Conference, IBIMA 2013, Vienna, Austria, 6/27/13.

Al-Sabahi J, Al-Abri M, Al-Shihi W, Al-Busaidi KA. Attitude toward the development of psychological disorders diagnosis expert system. In Vision 2020: Innovation, Development Sustainability, and Economic Growth - Proceedings of the 21st International Business Information Management Association Conference, IBIMA 2013. Vol. 2. International Business Information Management Association, IBIMA. 2013. p. 1376-1384

Al-Sabahi, Juhaina ; Al-Abri, Muna ; Al-Shihi, Wafa ; Al-Busaidi, Kamla Ali. / Attitude toward the development of psychological disorders diagnosis expert system. Vision 2020: Innovation, Development Sustainability, and Economic Growth - Proceedings of the 21st International Business Information Management Association Conference, IBIMA 2013. Vol. 2 International Business Information Management Association, IBIMA, 2013. pp. 1376-1384

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AB - Converting human knowledge, in the field of psychology, to an expert system (ES) was the aim of this study. This developed psychological disorders diagnosis ES prototype covers five psychological disorders, which are the most common in Oman according to the domain experts; these disorders are: Self-Deliberate Harm, Panic Disorder, Social Phobia, Dysthymia and Anorexia Nervosa. The system helps people assess their mental health by identifying the type of the disorder they might possess. The development of such system is very valuable for conservative countries where psychological problems are still not given high recognition and importance, and health privacy, especially psychological health, is still a major concern. This expert system is developed based on the knowledge acquired from human experts in psychology medicine department in a local hospital. After the development of the prototype system, potential users' and other domain experts' attitude toward the system was assessed. This paper discusses the development process of this psychological disorders diagnosis expert system and its potential strengths and risks.

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ER -

Attitude toward the development of psychological disorders diagnosis expert system

Abstract

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Keywords

ASJC Scopus subject areas

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