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Case-Based Reasoning in the Care of Alzheimer’s Disease Patients

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Case-Based Reasoning Research and Development (ICCBR 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2080))

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Abstract

Planning the ongoing care of Alzheimer’s Disease (AD) patients is a complex task, marked by cases that change over time, multiple perspectives, and ethical issues. Geriatric interdisciplinary teams of physicians, nurses and social workers currently plan this care without computer assistance. Although AD is incurable, interventions are planned to improve the quality of life for patients and their families. Much of the reasoning involved is case-based, as clinicians look to case histories to learn which interventions are effective, to document clinical findings, and to train future health care professionals.

There is great variability among AD patients, and within the same patient over time. AD is not yet well enough understood for universally effective treatments to be available. The case-based reasoning (CBR) research paradigm complements the medical research approach of finding treatments effective for all patients by matching patients to treatments that were effective for similar patients in the past.

The Auguste Project is an effort to provide decision support for planning the ongoing care of AD patients, using CBR and other thought processes natural to members of geriatric interdisciplinary teams. System prototypes are used to explore the reasoning processes involved and to provide the forerunners of practical clinical tools. The first system prototype has just been completed. This prototype supports the decision to prescribe neuroleptic drugs to AD patients with behavioral problems. It uses CBR to determine if a neuroleptic drug should be prescribed and rule-based reasoning to select one of five approved neuroleptic drugs for a patient. The first system prototype serves as proof of concept that CBR is useful for planning ongoing care for AD patients. Additional prototypes are planned to explore the research issues raised.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, Ohio University, Athens, Ohio, 45701, USA

    Cindy Marling

  2. University Alzheimer Center and School of Medicine, Case Western Reserve University, Cleveland, Ohio, 44106, USA

    Peter Whitehouse

Authors
  1. Cindy Marling
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  2. Peter Whitehouse
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Editor information

Editors and Affiliations

  1. Naval Research Laboratory, Code 5510, Navy Center for Applied Research in Artificial Intelligence, 4555 OverlookAvenue, SW, Washington, DC, 20375, USA

    David W. Aha

  2. Computer Science Department, University of Auckland, Private Bag 92019, Auckland 1, New Zealand

    Ian Watson

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© 2001 Springer-Verlag Berlin Heidelberg

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Marling, C., Whitehouse, P. (2001). Case-Based Reasoning in the Care of Alzheimer’s Disease Patients. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2001. Lecture Notes in Computer Science(), vol 2080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44593-5_50

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  • DOI: https://doi.org/10.1007/3-540-44593-5_50

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42358-4

  • Online ISBN: 978-3-540-44593-7

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