中华医学图书情报杂志2018，Vol.27Issue(2)：63-68,6.DOI:10.3969/j.issn.1671-3982.2018.01.010
基于电子病历的胃癌治疗方案辅助选择
Electronic medical records-based selection of gastric cancer treatment plans
摘要
Abstract
Objective To study the effective text mining methods by mining the information in electronic medical records( EMR) in order to achieve their value in support of decision-making. Methods Two thousand and five hundred EMR of gastric cancer patients were randomly divided into training group ( n＝1500) and testing group( n＝1000) . The words in the text of EMR of training group were identified using dictionary in combination with statistical methods. The segmented words were clustered according to the co-occurrence frequency of each segmented word and the treatment plan extracted from EMR. The matched number of words in each cluster from the text of EMR of training group was recorded. A decision-making support model of Bayes discrimination function was established according to the matched number of words in each cluster from the text of EMR of training group and treatment plan to verify the EMR in training group and to evaluate the words segmenting methods and the discrimination model. Results Fifty randomly selected RME showed that the recall rate, accurate rate and F-1 value of segmented words were 74. 24%, 82.30% and 78.06% respectively. The accurate rate of the established discrimination model was 62% for the identification of EMR of testing group when the segmented words were clustered into 5 categories. Conclusion The efficiency of dictionary in combination with statistical methods is good for identifying words from the text of EMR. Cluster-based text mining of EMR can achieve the decision-making support value of EMR, but the accuracy of the established decision-making support model is not as high as expected. Further study is thus necessary to identify the words from the text of EMR and the process of segmented words in establishing the decision-making support model.关键词
分词/聚类分析/Bayes判别/电子病历/临床决策支持/胃癌Key words
Segmented words/Cluster analysis/Bayes discrimination/EMR/Clinical decision-making support/Gastric cancer分类
医药卫生引用本文复制引用
夏冬,李国垒,陈先来..基于电子病历的胃癌治疗方案辅助选择[J].中华医学图书情报杂志,2018,27(2):63-68,6.基金项目
国家社科基金项"面向临床决策的电子病历潜在语义分析及应用研究" (13BTQ052)的研究成果之一 （13BTQ052）
