Application of Genetic Algorithm to Identify Hot Topics from Medical Literature
Zhang Han1, Han Shuang1, Bai Xing2, Cui Lei1
1. Department of Information Management and Information System (Medicine), China Medical University, Shenyang 110001, China;
2. Pfizer Pharmaceuticals Limited, Shenyang 110014, China
Abstract：This paper firstly creates Medical Subject Headings (MeSH) feature vector for medical literature, then searches for the latest cited times of each paper after published two years, which serves as the indicator for hot papers. Using a genetic program, a group of MeSH terms representing the content of hot papers are extracted. The method is tested on the topic of neoplastic stem cells,and the results from term frequency analysis are served as a baseline. The outputs of two methods are evaluated by domain experts,and the results show that genetic algorithm based method has a better performance than term frequency based method.
张晗, 韩爽, 白星, 崔雷. 利用遗传算法确定医学文献的研究热点[J]. 现代图书情报技术, 2011, 27(3): 57-61.
Zhang Han, Han Shuang, Bai Xing, Cui Lei. Application of Genetic Algorithm to Identify Hot Topics from Medical Literature. New Technology of Library and Information Service, 2011, 27(3): 57-61.
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