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Title page for etd-0301106-154113


URN etd-0301106-154113 Statistics This thesis had been viewed 1593 times. Download 18 times.
Author Hsiao-Fen Chen
Author's Email Address g9212009@ms2.ttu.edu.tw
Department Information Management
Year 2005 Semester 1
Degree Master Type of Document Master's Thesis
Language English Page Count 178
Title Applying Data Mining Technology on National Health Insurance Research Database-For Example:Osteoporosis
Keyword
  • Osteoporosis
  • National Health Insurance Research Database
  • Decision Tree
  • Data Mining
  • Association Rule
  • Association Rule
  • Data Mining
  • Decision Tree
  • National Health Insurance Research Database
  • Osteoporosis
  • Abstract Along with the exaltation of medical treatment level, the local people’s life expectance has increased year by year; some chronic diseases have affected the health of local people gradually with the prolonged life. Osteoporosis, as one kind of the chronic diseases, has ever been claimed by WHO that this disease is the secondary serious problem only next to cardiovascular disease, and particularly emphasized that this is a common ignored disease under improper diagnosis procedure, therefore all countries in fact shall affirm such disease as a major public health problem which needs to be taken care with a heightened vigilance.
    The present study utilized the claims data of the Bureau of National Health Insurance (BNHI) from hospitals throughout Taiwan during the period between 1996 and 2000 which contains “Prescriptions for Outpatients and Detailed Therapeutic File”, and “Registration file” as the data source, and retrieving the patients with osteoporosis among the related classification and code of disease as the research objects, so as to analyze both the demography characteristic and registration habits in seeking medical advice for the patients with osteoporosis, as well as the connectivity to other diseases, in addition to the analysis on the classification of medical expenditure claimed by each medical institution.
    According to the results of Description Statistical Analysis, it showed that the majority of local patients with osteoporosis during 1997-2000 are female, between the ages of 51-70, and the most male patients are between 61-70 years old. The primary residence area for most patients is the Kinmen County, and the next one is the Taichung County. As to the registration habits in seeking medical advice for the local patients with osteoporosis, we found that most of them were registered for the treatment of orthopedics surgery, in which most female patients were registered for obstetrics & gynecology treatment. Where the local hospitals were the most popular medical institutions, and the next were the medicine centers.
    In light of the results of Association Rule, it revealed that the known disease of osteoporosis has a closed relationship with postmenopausal women and also revealed some unknown rules, such as the relationship between menopausal syndrome with the osteoporosis and vulvovaginitis. Also, the classification results acquired by utilizing the technique of decision tree showed that medical expenditure claimed by most medical institutions were laid in the group of low expenditures, thus the results of this study can be provided for the National Health Insurance Bureau as an applicable reference.
    Advisor Committee
  • none - advisor
  • none - co-chair
  • none - co-chair
  • Files indicate in-campus access only
    Date of Defense 2006-01-17 Date of Submission 2006-03-01


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