期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2013
卷号：5
期号：3
页码：143
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The size and growth rate of biomedical literature creates new challenges for researchers who need to keepup to date. The objective of the present study was to design a pattern matching method for miningacronyms and their definitions from biomedical text by considering the space reduction heuristicconstraints have been proposed and implemented. The constraints mentioned are spacious-reductionheuristic constraints which will reduce the search space and will extract most of the true positive cases.The evaluation has been done on MEDLINE abstracts. The results show that the proposed algorithm isfaster and more efficient than the previous approaches, in term of space and time complexities. Thealgorithm has a very good Recall (92%), Precision (97%) and F-factor (94%). One improvement that canbe done is to consider all kinds of acronyms definition patterns. This algorithm only considersacronym−definition pairs of the form Acronym (Definition) Definition (Acronym) pairs. Improving thealgorithm requires additional study and may reduce the precision even though it may increase the recall.The Algorithm is space efficient too. Input text of any large size can be mined using this algorithm becauseit requires less memory space to execute
关键词：biomedical text ;MEDLINE; Recall; Precision; F-factor; Acronym
