群集演算法應用於建立個人健康紀錄之社群

An approach to construct the PHR social community by using clustering algorithm

簡敬倫(Jing-Lun Chien)

指導教授 ： 林志豪

亞洲大學/資訊學院/資訊多媒體應用學系碩士班/碩士(2010年)

摘要

隨著國民知識水準提升，醫療品質逐漸受到大眾的重視，民眾除了開始主動管理個人健康紀錄之外，更進而主動投入個人的醫療計畫之中。因此，關於個人健康紀錄的研究也逐漸受到重視。此外，網際網路的普及與使用者數目的劇增，虛擬社群也逐漸在網路上成型。許多不同領域的互動社群系統也如雨後春筍般的發展出來，社會大眾的互動行為也逐漸擴張至網路上。儘管網路的普及使得網際網路成為大眾搜集資料的重要管道之一，然而網路上常夾帶著龐大且無用資訊，以致於網路傳輸雖然快速且方便，但使用者仍需花上大量時間過濾無用的資訊。透過虛擬社群的力量，使用者能夠在社群中尋求有相似經驗的使用者之協助，用以節省過濾無用資訊的時間。
本研究利用社群概念與資料採礦技術，搭配個人健康紀錄系統，建構出以病友與病友互動為主題之社群系統；本研究利用分群演算法來對個人健康紀錄系統做病友分群，分群結果可讓使用者作為提早防範疾病上身之依據。使用者也可根據國際疾病分類代碼作為尋找病友的條件，無論是群集內或不同群集之病友，皆能夠被使用者找到。本論文預期此研究架構的設計之貢獻有二，在研究上，分群結果可提供個人健康紀錄系統內所包含的隱性資訊給予專家及群集內的病友；在生活上，系統能夠有效的提供使用者媒合及配對，提供使用者蒐集資料的一條新管道，讓使用者對於自身的健康照護及醫療計劃更加的重視與投入。

關鍵字

個人健康紀錄 ； 社群 ； 群集演算法 ； 資料採礦

並列摘要

Along with the upgrade of the knowledge level, the quality of the medical is getting emphasized by the republic gradually. However, people start to automatically manage the personal health record (PHR), and to the further step they are active to involve the personal medical plan. Therefore, according to the research of personal health record (PHR) is starting to get emphasized. Furthermore, the popularity and use of the internet are dramatically increased, and the visual social community is also forming on the internet. A lot of different active social community systems are developing and the republic active behavior is extending to the internet gradually. Although the popularity of the internet has become one of the important ways to gather information, there is still much useless information which appears on the internet. So although the transmission speed is quick and convenience, the users still need to spend most of time on selecting the useless information. Through the gathering power of the visual social community, the users could possibility search for the similar experiences and assistances from the users in the social community which can save the searching information time.
This study uses the concept of social community and the technology of data mining with personal health record system, to construct the relation of patient and patient about the subject of social system. We use the cluster algorithm to cluster the PHR system, the result let the users prevent the deceases which happened on the user in advance on the basis of other patients’ experiences. The users can also follow by the international disease category code to search the same conditions from other patients. No matter in the cluster or different clusters of patients will be found by the users. This study is anticipating to provide two contributions on the framework design. On the study, results of the cluster can provide the PHR system which involve the invisible information to the professionals and cluster patients. In life, the system can be effective to provide the match of the users and new way to collect information. This could help the users to pay attention and get involvement on the self-healthcare and medical plan.

並列關鍵字

Personal Health Record ； Social Community ； Cluster Algorithm ； Data Mining

參考文獻

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