| Summary: | 碩士 === 臺北醫學大學 === 醫學資訊研究所 === 92 === Although medical and biotechnology technology have made a great breakthrough and improved a lot in recent years, cancer is still the one of the major threats to mankind’s health and survival. According to the Cancer Registry Annual Report by the Department of Health, Executive Yuan, Taiwan, R.O.C., 56,323 people were attacked by cancer in 2002. On average, one got cancer every 9 minutes 20 seconds and people dying of gastric cancer amounted to 2,446. Gastric cancer ranks fifth of the 10 causes of cancer death. With early diagnosis and treatment, gastric cancer patients can mostly be cured and 95% of them will live for five years or more. If the gastric cancer is found in the later phase, however, the cure rate is almost zero. In the AI (Artificial Intelligence) field, Case-Based Reasoning (CBR) is a technology for problem solving. People can solve their current problems based on their previous experiences. Most of the existing CBR systems are applied to the processing of documented data., but in the medical field, image data can offer better values than other professional fields. Gastric cancer can be diagnosed not only from the clinical symptoms but also from gastroscopy images;therefore, the Study tries to bring the gastroscopy images into indexes and images and find out the most suitable and presentable attribute weight values. Of course, new medical technology will develop as time passes by and updated examination approaches or technologies will be discovered from time to time. It is important to know how to bring new and accurate approaches into CBR to increase the systematic accuracy and decrease the time you spend relaying CBR due to added indexes. The manual mechanism can still operate for index addition, and experienced clinical workers can add their own thoughts and new and accurate indexes any time to retain plasticity and vitality for the whole system. Furthermore, medical staff can also create a cure flow path suitable for patients to reduce the medical costs and increase the survival rate for the patients based on their medical experiences.
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