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利用文件及影像檢索建立胃癌診斷與治療的案例式推理

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利用文件及影像檢索建立胃癌診斷與治療的案例式推理

Building a Model of Case-Based Reasoning for Diagnosis and Treatment of Gastric Carcinoma using Documents Mining and Image Retrieval

詹皇謙a 楊超然a

孫雷銘

a 劉立ab

a台北醫學大學醫學資訊研究所 b台北醫學大學附設醫院 摘要

隨著資訊科技的快速發展,資訊科技也逐漸成為了醫療照護及生物醫學研究的關鍵工具。所 以如何運用數位化的醫學資訊來幫助臨床工作者解決病患的問題,是一項重要的課題。

案例式推理(Case-Based Reasoning, CBR)是一種藉由以前的經驗,來解決目前所遭遇到的問 題。這正如同人類在解決問題時,往往會師法前人十分類似,且可應用的領域相當的廣泛。

其優點是可不用花太多功夫去做複雜的法則式推理(Rule-Based Reasoning, RBR),而能快速 的產生結果。在目前的CBR 系統中,大部份都只有針對文件資料的部份進行。然而在醫學的 領域中,影像資料所能提供的價值,遠超過其他的專業領域,若使文件與影像資料可合而 為一,則對整體診斷成效會更有所助益。故本篇論文欲利用文件檢索結合影像檢索,增進案 例式推理系統的能力,並且實際運用在胃癌的診斷上。

關鍵字:案例式推理、文件檢索、影像檢索、胃癌

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