Knowledge-based treatment planning for adolescent early intervention of mental healthcare: A hybrid case-based reasoning approach

W. M. Wang, Chi Fai Cheung, Wing Bun Lee, S. K. Kwok

Research output: Journal article publicationJournal articleAcademic researchpeer-review

27 Citations (Scopus)


Treatment planning is a crucial and complex task in the social services industry. There is an increasing need for knowledge-based systems for supporting caseworkers in the decision-making of treatment planning. This paper presents a hybrid case-based reasoning approach for building a knowledge-based treatment planning system for adolescent early intervention of mental healthcare. The hybrid case-based reasoning approach combines aspects of case-based reasoning, rule-based reasoning and fuzzy theory. The knowledge base of case-based reasoning is a case base of client records consisting of documented experience while that for rule-based reasoning is a set of IF-THEN rules based on the experience of social service professionals. Fuzzy theory is adopted to deal with the uncertain nature of treatment planning. A prototype system has been implemented in a social services company and its performance is evaluated by a group of caseworkers. The results indicate that hybrid case-based reasoning has an enhanced performance and the knowledge-based treatment planning system enables caseworkers to construct more efficient treatment planning in less cost and less time.
Original languageEnglish
Pages (from-to)232-251
Number of pages20
JournalExpert Systems
Issue number4
Publication statusPublished - 1 Sep 2007


  • Adolescent early intervention
  • Hybrid case-based reasoning
  • Knowledge management
  • Mental healthcare
  • Social services

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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