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DOI QR Code

해외 이민 한국인의 정신건강관리를 위한 웹기반 지능형 전문가시스템 개발 및 적용

Development and Application of a Web-based Expert System using Artificial Intelligence for Management of Mental Health by Korean Emigrants

  • 배정이 (인제대학교 의과대학 간호학과.건강과학연구소.부산광역시 국제안전도시연구센터)
  • Bae, Jeongyee (Department of Nursing, Inje University, Institute for Health Science Research, International Safe Community Research Center of Busan Metropolitan)
  • 투고 : 2012.08.14
  • 심사 : 2012.11.23
  • 발행 : 2013.04.30

초록

Purpose: The purpose of this project was to develop an international web-based expert system using principals of artificial intelligence and user-centered design for management of mental health by Korean emigrants. Using this system, anyone can access the system via computer access to the web. Methods: Our design process utilized principles of user-centered design with 4 phases: needs assessment, analysis, design/development/testing, and application release. A survey was done with 3,235 Korean emigrants. Focus group interviews were also conducted. Survey and analysis results guided the design of the web-based expert system. Results: With this system, anyone can check their mental health status by themselves using a personal computer. The system analyzes facts based on answers to automated questions, and suggests solutions accordingly. A history tracking mechanism enables monitoring and future analysis. In addition, this system will include intervention programs to promote mental health status. Conclusion: This system is interactive and accessible to anyone in the world. It is expected that this management system will contribute to Korean emigrants' mental health promotion and allow researchers and professionals to share information on mental health.

키워드

참고문헌

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피인용 문헌

  1. Cultural Adaptation of Minimally Guided Interventions for Common Mental Disorders: A Systematic Review and Meta-Analysis vol.3, pp.3, 2013, https://doi.org/10.2196/mental.5776
  2. Long-Term Assessment of Rehabilitation Treatment of Sports through Artificial Intelligence Research vol.2021, pp.None, 2013, https://doi.org/10.1155/2021/4980718