A Personalized Recommendation System for E-Healthcare

近年來，國人健康意識提昇，加上慢性病成為主要的
死因，國人對於健檢服務需求有別於過去，使得提供
線上個人保健醫療推薦系統，成為了一個關鍵的研究
與實務應用課題。個人化保健醫療是根據個人健康狀
況、病史、罹病風險、個人偏好與需求，提供保健醫
療決策服務，以協助個人制定一個整體性的醫療保健
計畫。目前大多數的健檢與醫療中心僅提供就醫者大
眾化健檢套餐服務與一般性的醫療建議，但缺乏個人
化整合性保健醫療推薦服務，因此，本研究提出電子
化保健醫療之個人化推薦系統，進一步建置原型系統
以支援個人健檢推薦、檢驗報告判讀與保健醫療推薦
服務，並驗證本系統的可行性與效益。
In recent years, with the awareness of healthcare and the
burdens of chronic diseases, the needs for health exams
are raising. How to provide online personalized
healthcare systems becomes a critical academic and
applied research issue. Personalized healthcare helps
patients to build holistic healthcare plans based on
personal health conditions, medical histories, disease
risks, and personal preferences and needs. Most health
exam centers only offer health exam packages and
general medical suggestions, and there are no
user-centric integrated healthcare recommendation
services. To fill the research gaps, our research is to
propose the system architecture and processes of a
personalized recommendation system for e-healthcare.
We also build a prototype to encompass personalized
health exam recommendations, medical interpretation
and advisory, as well as clinical care recommendation
processes to show the feasibility and effectiveness of the
personalized healthcare recommendation.