| Summary: | 碩士 === 國立屏東科技大學 === 資訊管理系所 === 97 === The recommended system provides a good way to solve the information explosion phenomenon, which cause by the rapid development of information technology. The recommended system adapts the grouping calculations and recommended techniques to limit information and eliminate useless information. This study design an patient register recommender system, through the personal disease and illness history, family history, health condition or symptom description, followed up by the back-end medical support decision-making system which will then do the database processing. This is phase to phase and a gradual understanding of the patient's symptoms, which then recommend certain clinic divisions to the patient.
The main features of this system are: (1)the symptoms algorithm database - by association rule calculations to understand the relation between clinic divisions; (2) establish data handbook – base on doctor’s clinical reference diagnosis, to establish various disease symptoms correlation, and corresponds to a registered divisions; (3) recommended agent – patient input symptoms of a disease through system interface, agent recommend division to patient by cross reference symptoms database and handbook database.
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