| Summary: | 碩士 === 國立虎尾科技大學 === 工業工程與管理研究所 === 99 === The Benign Prostatic Hyperplasia (BPH), is one of the common aged male urinary tract diseases. Usually applying the radical prostatectomy can relieve of the symptoms of BPH. The prostate cancer ranks the top 7th for domestic death rates arising from cancers and its death rate is about 2.34%. In case of conducting the radical prostatectomy in the preliminary stage, the curative ratio is pretty high. With the population remains in a state of aging and the ever-increasingly rising number of prostate patients, the corresponding consumed medical treatment resources and costs are tremendous. One of the top priority medical issues shall be show to effectively evaluate the length of stay and the relevance the medical treatment costs and overall medical resource planning.
It has been conducted reference document collection and in-depth interviews with the physicians for summarizing all the relevant influential variables in conjunction with regarding the prostate surgery patients in the database of Bureau of National Health Insurance from years 2006 to 2009. The portfolios of various artificial intelligence algorithm, including C5.0 Decision Tree, Back Propagation Neural Network (BPN), Support Vector Machines (SVM), Case Based Reasoning (CBR) have been applied in this research for evaluating the length of stay after surgery and total medical treatment costs. The results of length of stay, in the case A, the accuracy and area under the ROC curve of all individual models are all maintained at least 78% and a value of 0.7. In the case B, the SVM and the BPN combined with SVM models demonstrate better analysis performance. In the case C, the C5.0 combined with SVM model yields a sensitivity ratio of only 24%, which symbolizes incompetence for making effective authentication on the cases. In terms of expenditure, the average error of expenditure for case A and case C are both about 14%, much better than the 24.46% yielding from the case B. It symbolizes a better performance. This study can providing medical professionals auxiliary reference basis for evaluating length of stay and clinical diagnosis and for substantial enhancement of medical service quality and efficiency and for avoidance of unnecessary waste and assistance for medical institutions in reaching practical benefits for medical resource appropriation. Meanwhile, the research results can also provide the Bureau of National Health Insurance some reference basis for making disbursement policy improvement measures and making the national health insurance act more comprehensive.
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