臺灣博碩士論文加值系統

由於人口高齡化，醫療保健逐漸成為一個非常重要的課題。而這個問題正在推動著遠距健康照護市場的發展，並同時提升其競爭力。這項研究提出了一種專利探勘的方法來定義遠距醫療照護產業的技術機會。專利是基於從USPTO資料庫所收集的專利文獻，並使用彼此之間的引用關係來建構專利網絡。研究使用Girvan-Newman演算法識別不同時間序列中的專利社群，並且使用Group Evolution Discovery（GED）演算法來觀察專利社群的演化模式。其中一些不斷發展的專利社群，值得作為潛在的技術機會來進一步探索，而研究使用文字探勘中的主題模型方法來探索這些社群的潛在技術機會。結果中所發現的可能潛在技術機會有遠距健康照護機器人、生物奈米植入式裝置和可靠的IOT傳輸技術。這些研究結果可能有助於台灣的遠距健康照護產業製定研發策略。

Due to growing aging population, medical care has been becoming a very important issue. This issue is driving up the tele-healthcare market, while increasing its competition intensity. This research presents a patent mining methodology to identify technological opportunities in the tele-healthcare industry. The patent citation network is constructed based on patent documents collected from the USPTO database. The Girvan–Newman algorithm is used to identify patent communities along different time windows and the Group Evolution Discovery (GED) algorithm is used to discover evolution patterns of patent communities. Some evolving patent communities are worth further exploring potential technology opportunities using the topic modeling approach in text mining. The potential technological opportunities may include tele-healthcare robots, bio-nanoparticle implantable devices, and the reliable IOT transmission. The research findings may help Taiwan’s tele-healthcare industry to formulate their R&D strategies.

摘要 i
Abstract ii
圖目錄 iv
表目錄 v
第一章 緒論 1
第一節 研究背景 1
第二節 研究目的 2
第二章 文獻探勘 4
第一節 文字探勘 4
第二節 專利探勘 5
第三節 社群網絡分析 6
第四節 遠距健康照護產業 6
第三章 研究方法 8
第一節 研究架構 8
第二節 專利文件蒐集與專利網絡建立 10
第三節 專利網絡建立 10
第四節 目標社群定義 11
第五節 文字探勘與技術機會 12
第四章 研究結果 15
第一節 社群網絡 15
第二節 技術機會—合併 16
第三節 技術機會—成長 21
第四節 技術機會—成型 27
第五章 結論與建議 32
第一節 結論 32
第二節 研究限制與建議 33
參考文獻 34

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