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RHCS - A Clinical Recommendation System for Geriatric Patients

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Heterogeneous Data Management, Polystores, and Analytics for Healthcare (DMAH 2018, Poly 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11470))

Abstract

Medication errors caused by the mistakes of healthcare professionals are still one of the leading causes of death. The problem is even more serious with the elderly people suffering from multiple health problems at the same time. Clinical recommendation systems can be used to prevent such medication errors. In this paper, we present our clinical recommendation system (RHCS) which generates drug recommendations to assist healthcare professionals in making decisions on treatment process of geriatric patients. Geriatric patients refer to elderly patients aged 65 years or over. One of the distinctive points of our study lies in the methodology used, which is empowering collaborative filtering recommendation approach with historical data of geriatric patients. Its ontology-based approach and compatibility with clinical classification systems also make this study prominent. We evaluated RHCS with different types of evaluation metrics, and the results show that it is promising.

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Authors and Affiliations

  1. Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany

    Saliha Irem Besik

  2. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

    Saliha Irem Besik & Ferda Nur Alpaslan

Authors
  1. Saliha Irem Besik
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  2. Ferda Nur Alpaslan
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Corresponding author

Correspondence to Saliha Irem Besik .

Editor information

Editors and Affiliations

  1. Massachusetts Institute of Technology, Lexington, MA, USA

    Vijay Gadepally

  2. Intel Corporation, Hillsboro, OR, USA

    Timothy Mattson

  3. Massachusetts Institute of Technology, Cambridge, MA, USA

    Michael Stonebraker

  4. Stony Brook University, Stony Brook, NY, USA

    Fusheng Wang

  5. University of Washington, Seattle, WA, USA

    Gang Luo

  6. University of Brasília, Brasilia, Brazil

    George Teodoro

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Besik, S.I., Alpaslan, F.N. (2019). RHCS - A Clinical Recommendation System for Geriatric Patients. In: Gadepally, V., Mattson, T., Stonebraker, M., Wang, F., Luo, G., Teodoro, G. (eds) Heterogeneous Data Management, Polystores, and Analytics for Healthcare. DMAH Poly 2018 2018. Lecture Notes in Computer Science(), vol 11470. Springer, Cham. https://doi.org/10.1007/978-3-030-14177-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-14177-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-14176-9

  • Online ISBN: 978-3-030-14177-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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