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Risk Mediation in Association Rules

The Case of Decision Support in Medication Review

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Artificial Intelligence in Medicine (AIME 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10259))

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Abstract

We propose a model for the incorporation of risk in association rule application. We validate this model using data gathered in a randomized controlled trial from a recommender system for medication reviews in primary care. The model’s outcomes are found to have predictive value when tested against decisions made by physicians on 261 patients’ health records.

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Notes

  1. 1.

    https://www.nhg.org/themas/publicaties/multidisciplinaire-richtlijn-polyfarmacie-bij-ouderen.

  2. 2.

    http://www.apotheek.nl/medicijnen.

  3. 3.

    http://www.whocc.no/ddd/definition_and_general_considera/.

References

  1. Meulendijk, M., et al.: STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care. In: Proceedings of ECIS 2015, Münster, Germany (2015)

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  2. Meulendijk, M., et al.: Computerized decision support improves medication review effectiveness: an experiment evaluating the STRIP Assistant’s usability. Drugs Aging 32(6), 495–503 (2015)

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  3. Meulendijk, M., et al.: Efficiency of clinical decision support systems improves with experience. J. Med. Syst. 40(4), 76–82 (2016)

    Article  Google Scholar 

  4. Meulendijk, M., Spruit, M., Brinkkemper, S.: Risk Mediation in Association Rules: Application Examples, Utrecht University, UU-CS-2017-004 (2017)

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Author information

Authors and Affiliations

  1. Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands

    Michiel C. Meulendijk

  2. Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands

    Marco R. Spruit & Sjaak Brinkkemper

Authors
  1. Michiel C. Meulendijk
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  2. Marco R. Spruit
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  3. Sjaak Brinkkemper
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Corresponding author

Correspondence to Michiel C. Meulendijk .

Editor information

Editors and Affiliations

  1. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Annette ten Teije

  2. Medical University of Vienna, Vienna, Austria

    Christian Popow

  3. University of Pennsylvania, Philadelphia, Pennsylvania, USA

    John H. Holmes

  4. University of Pavia, Pavia, Italy

    Lucia Sacchi

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© 2017 Springer International Publishing AG

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Cite this paper

Meulendijk, M.C., Spruit, M.R., Brinkkemper, S. (2017). Risk Mediation in Association Rules. In: ten Teije, A., Popow, C., Holmes, J., Sacchi, L. (eds) Artificial Intelligence in Medicine. AIME 2017. Lecture Notes in Computer Science(), vol 10259. Springer, Cham. https://doi.org/10.1007/978-3-319-59758-4_38

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  • DOI: https://doi.org/10.1007/978-3-319-59758-4_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59757-7

  • Online ISBN: 978-3-319-59758-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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