Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract：【目的】分析新农合药品报销目录存在的问题, 提出整合技术路线, 开发信息系统, 整合多来源词表, 生成国家新农合药品一体化目录。【方法】借鉴UMLS 整合技术路线, 采用映射的方法对多来源药品字典集成存在的问题进行解决。【结果】制定了相应的新农合药品编码目录数据结构和映射算法, 完成了国家新农合一体化目录构建系统的设计与开发。【局限】药品之间相互药理作用关系还需进一步梳理完善。【结论】经过制定数据结构和映射算法对新农合目录编码进行映射, 解决了构建国家新农合药品目录编码中多来源字典集成问题。
Subjects: Library Science，Information Science >> Information Science submitted time 2017-10-11 Cooperative journals: 《数据分析与知识发现》
Abstract： [Objective] This study aims to extract knowledge for clinical decision from electronic medical records through semantic analysis. [Methods] We first extracted clinical terms from the training samples by the word segmentation algorithm with the help of custom dictionary and statistical method. Then, we used latent semantic analysis to find the potential correlations between clinical terms and treatment plans. Finally, we established a latent semantic model to support gastric cancer treatments. [Results] We successfully extracted 605 treatment plans from 1000 test samples based on the discharge summary texts. [Limitations] Only discharge record texts were examined for this study. [Conclusions] The latent semantic analysis could effectively process electronic medical records to assist doctors’ clinical decision-making work, which posed positive effects to the development of electronic medical record applications.
Hits
Hits
Downloads
Comment