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Evaluating a Case-Based Reasoner for Clinical Decision Support

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

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Abstract

Orion Systems International Limited has recognised the need in the healthcare industry for an application to provide robust clinical decision support. One possible approach is to develop a case-based reasoner to support decisions made in the disease management process. We have undertaken a project to investigate the validity of using case-based reasoning for this task, specifically focusing on the management of treatment of diabetes patients. An application that uses case-based reasoning has been developed and tested. This paper describes the pre-processing of cases, the development of a case representation and similarity metrics and evaluation. Results show that case-based reasoning could be a valid approach, but more investigation is needed.

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References

  1. AACE 2002. The American Association of Clinical Endocrinologists Medical Guidelines for the Mangement of Diabetes Mellitus. In: The AACE System of Intensive Self-Management - 2002 Update. Endocrine Practice Vol. 8, pp. 40-82 (2002)

    Google Scholar 

  2. Bellazi, R., Montani, S., Portinale, L., Riva, A.: Integrating Rule-Based and Case-Based Decision Making in Diabetic Patient Management. In: Althoff, K.-D., Bergmann, R., Branting, L.K. (eds.) ICCBR 1999. LNCS (LNAI), vol. 1650, pp. 386–400. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  3. Marling, C., Whitehouse, P.: Case-Based Reasoning in the Care of Alzheimer’s Disease Patients. In: Aha, D.W., Watson, I. (eds.) ICCBR 2001. LNCS (LNAI), vol. 2080, pp. 702–715. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  4. Mendes, E., Watson, I., Triggs, C., Mosley, N., Counsell, S.: A Comparison of Development Effort Estimation Techniques for Web Hypermedia Applications. In: Proceedings IEEE Metrics Symposium, June, Ottawa, Canada (2002)

    Google Scholar 

  5. Schulz, S.: CBR-Works - A State-of-the-Art Shell for Case-Based Application Building. In: Proceedings of the German Workshop on CBR. LNCS (LNAI), Springer, Heidelberg (1999)

    Google Scholar 

  6. Stahl, A.: Defining Similarity Measures: Top-Down vs. Bottom-Up. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, Springer, Heidelberg (2002)

    Google Scholar 

  7. Sterling, W.: A Massive Repository for the National Medical Knowledge Bank. Teradata Development Division, NCR Corporation, CA (2001)

    Google Scholar 

  8. Watson, I.: Applying Knowledge Management: Techniques for Building Organisational Memories. In: Craw, S., Preece, A.D. (eds.) ECCBR 2002. LNCS (LNAI), vol. 2416, Springer, Heidelberg (2002)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Auckland, New Zealand

    Anna Wills & Ian Watson

Authors
  1. Anna Wills
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  2. Ian Watson
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Wills, A., Watson, I. (2004). Evaluating a Case-Based Reasoner for Clinical Decision Support. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_80

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_80

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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