篇名 | 大數據背景下中國大陸司法系統對於醫療糾紛案件知識衝突的解決方案 |
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並列篇名 | China’s Judicial System for Medical Dispute Case Knowledge Conflict Solution under the Background of Big Data |
作者 | 李亞凝 |
中文摘要 | 由於互聯網飛速發展,資訊超載情況日益嚴重,人們對於資訊的處理出現了以「自我服務」為起點的資訊搜索,這就造成了資訊的「量」優先於資訊的「質」,成為了當前知識衝突的主要原因。反映在訴訟中表現為當事人之間的知識衝突日益加劇,基於資訊理論,可以計算出代表不同知識的量度和混亂度的資訊熵。司法機關應用減少資訊不確定性的「互資訊」方案,透過精密計算可以達成資訊增益的效果,從而實現符合大數據時代糾紛解決方案。 |
英文摘要 | Due to the rapid development of Internet, information overload is increasingly serious, people for information processing appeared in the “self service” as the starting point of information search, which creates a “quantity” of information prior to the “quality” of information, has become the current knowledge of the main causes of conflict. Reflected in the case of knowledge increasing conflict between the parties, based on the theory of information theory, can be calculated for different metrics and the chaos of information entropy of knowledge. Judicial organs application reduced the scheme of mutual information, the information uncertainty can be achieved by precise calculation the effect of information gain, which conform to the era of big data dispute solution. |
起訖頁 | 59-77 |
關鍵詞 | 司法改革、知識衝突、資訊熵、互資訊、資訊增益、Judicial Reform、Knowledge Conflict、The Information Entropy、Mutual Information、Information Gain |
刊名 | 醫事法學 |
出版單位 | 中華民國醫事法律學會 |
期數 | 201612 (23:2期) |
DOI | 10.3966/207976642016122302004 複製DOI DOI申請 |
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