智慧型互動病症推論引擎

Abstract

網際網路的普及以及近年來大眾對於健康議題的重視，使得健康相關的網站及系統逐漸的普遍。在本篇研究中，我們實作出一個健康照護搜尋引擎，希望能提供使用者完整、有效率的疾病診斷服務，我們應用一個創新的權重模型，其涵蓋獨特性及主要性兩種特性，並設定了三個參數來探討考量身體階層後的影響力。最後，我們以三百多個實際案例來做測試，實驗結果顯示考慮不同身體階層能讓系統的準確率明顯提升，而系統也表現了良好的診斷疾病效能。

Accessing the Internet and emphasizing health are two of the most popular trends in recent years. Several health websites or systems were being constructed one after another. In this paper, we implemented a healthcare inference engine for supporting users who has concerns about their own physical conditions. Our research applied a novel weighting model which based on two features of weight which were uniqueness and dominance. Moreover, three parameters were assigned to measure the effect from adding the hierarchy levels of body parts into our methods. In sum, great improvement could be seen after applying body parts hierarchy levels and this healthcare inference engine could performed successfully in real cases.