A Decision Support System for Bacteria Diagnosis and Antibiotic Therapy

• Main Authors: Chen-Tsung Kuo, 郭振宗
• Other Authors: Yuh-Jiuan Tsay
• Format: Others
• Language: zh-TW
• Published: 2000
• Online Access: http://ndltd.ncl.edu.tw/handle/06937413250284610522

碩士 === 國立屏東科技大學 === 資訊管理系 === 88 === This work develops a computer-based decision making system for bacteria diagnosis and antibiotic therapy in particular for PNEUMONIA. Based upon the Fuzzy theory, the historical record and symptoms for the patient are used as the input information. Bacteria therapy handbook and physician’s experiences in therapy process are integrated to establish the rules of diagnosis and medication for knowledge database. From the system, the type of bacteria results in PENUMONIA can be identified. A suitable antibiotic can then be suggested for the medication reference of physician. From the patient historical record and with the use of data-mining technique, the correlation between symptoms and potential types of bacterial can be added into the knowledge database to increase the system quality in decision-making. This work can provide the necessary information for physicians in making decision for selection antibiotic such that unnecessary antibiotic will be reduced for their improper usage. The usage of antibiotic can then be controlled. The service quality of medication can also be improved as well as the reduction of medication resource.