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Similarity Determination and Case Retrieval in an Intelligent Decision Support System for Diabetes Management
Walker, Donald

2007, Master of Science (MS), Ohio University, Computer Science (Engineering).
This thesis presents a metric for similarity determination and case retrieval for an intelligent decision support system. This system may greatly reduce the burden of diabetes management for both diabetic patients and their physicians through the use of case-based reasoning. Diabetes is a disease which affects over 20 million Americans with almost as many being at high risk of developing the disease. In order to live a healthy life with diabetes, individuals must continuously regulate their blood glucose levels. The current state of the art of diabetes management requires frequent doctor visits, careful measurements of the blood glucose levels, and mathematical calculations of insulin doses by the patient. This research is an intermediate step toward development of a method and system to analyze a patient's current state, recognize problems in blood glucose control and suggest therapy adjustments to remedy those problems.
Cynthia Marling (Advisor)
109 p.

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Walker, D. (2007). Similarity Determination and Case Retrieval in an Intelligent Decision Support System for Diabetes Management. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Walker, Donald. "Similarity Determination and Case Retrieval in an Intelligent Decision Support System for Diabetes Management." Electronic Thesis or Dissertation. Ohio University, 2007. OhioLINK Electronic Theses and Dissertations Center. 23 Oct 2018.

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Walker, Donald "Similarity Determination and Case Retrieval in an Intelligent Decision Support System for Diabetes Management." Electronic Thesis or Dissertation. Ohio University, 2007. https://etd.ohiolink.edu/

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