基于知识图谱的名医经验传承模式探究＊

名医经验传承是中医药文化传承和发展的重要内容。本文结合当前名医经验传承研究的基本现状以及名医学术经验整理与深度传承发展的核心需求，提出基于知识图谱的名医经验传承模式研究构想。利用知识图谱在多维度知识及海量信息网络整合方面的优势，从名医学术源流整理，学术思想挖掘及临床经验整理等多个角度出发，探讨知识图谱构建和挖掘分析的研究思路。通过多主题、结构化的知识图谱构建，探索名医经验传承系统化、规范化建设的新思路。     

条目反应理论MG-Bilog软件在量表研究中的应用

BACKGROUND: Item response theory is gradually used in the scale and questionnaire. However, the principles are profound and complicated, which makes it difficult to popularize. Therefore, the researchers have developed a series of softwares such as Bilog-MG software to deal with two-category data through writing program or clicking on the page. OBJECTIVE:To introduce the Bilog-MG software using an example. METHODS: Four items of physical role in the SF-36 scale were selected, and a total of 532 patients with nasopharyngeal carcinoma were enrolled for analysis. The main steps of Bilog-MG software included: basic definition and analysis model, definition of item analysis and estimation methods, definition of test score, definition of the data, definition of the correct answer, saving the data, and generating grammar. RESULTS AND CONCLUSION: (1) The steps of Bilog-MG software focused on the definition of the model (the number of test, grouping, items of test), definition of the analysis model (single parameter, double parameters, three parameters model), and definition of data and format. (2) The results of analysis included: item statistics, item parameter estimation values and the reliability coefficient. It also included the following graphics: item characteristic curves, item information curve and overall information curve. (3) In conclusion, the Bilog-MG software is easy to learn, and can accurately estimate the item and ability parameters. We hope Bilog-MG software can be widely used in medical research. 中国组织工程研究杂志出版内容重点：肾移植;肝移植;移植;心脏移植;组织移植;皮肤移植;皮瓣移植;血管移植;器官移植;组织工程