The Study of Hospital Clinic Recommendation System Based on Semantic Web Technology

• Main Authors: Lin, Ting-Shun, 林鼎舜
• Other Authors: Chen, Le- Hui
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/07784680561610040043

碩士 === 國防大學管理學院 === 資訊管理學系 === 99 === In recent years, a great number of people begin to use hospital registration system in the pace with Internet technology advancement. According to survey, most of people often register the wrong clinic at first visit in the hospital.If people register the wrong clinic, it will delay patient’s time and waste the medical cost. Semantic Web has extensive ability for dealing with abstract expression and applied to medical information field widely in recent years. In this study, we make use of semantic web inference technology developing Hospital Clinic Recommendation System in order for providing great services to people. In the future, people could input basis symptoms and characteristics into the system through the hospital network platform. The system that can assist people to query the disease, disease details, and infer the clinic treatment for making right decision, help people reduce the possibility of out-patient case linked to the wrong clinic and medical cost. Finally, the final result can provide impartial third party or hospital for future planning reference.