命名实体识别是生物医学文献文本挖掘重要的第一步。
Named entity recognition is the first key stage of text mining in the exploding biomedical literature.
生物实体名识别对生物医学文献的信息抽取有重要的意义。
Identification of biomedical entities is one of important techniques to extract information from biomedical documents.
生物医学文献数据库是临床医学实践证据的重要来源之一。
ObjectiveBiomedical research literature databases are one of the important sources for searching evidence of clinical practice.
这些主题将会补充许多“真实”的例子，取自最近的生物医学文献。
These topics will be reinforced with many "real-life" examples drawn from recent biomedical literature.
这篇文章集中在推论统计学，及它们在营养学和生物医学文献中的应用。
This article focuses on inferential statistics and their application in the nutrition and biomedical literature.
本文对生物医学文献知识发现的研究内容、研究成果以及基于文本挖掘的关键技术诸方面进行了系统的分析和阐述。
The latest researches of biomedical literature knowledge discovery, including main issues, accomplishment, and the key methods from text mining perspective, are discussed.
本文通过对英语生物医学名词、动词、形容词、副词和介词等难点词语的译析，为英语生物医学文献中难点词汇的翻译提供一些参考。
In this article, we discuss the translating of several types of words, e. g. nouns, verbs, adjectives, adverbs and prepositions in English biomedical treatises, and hopefully, some of the...
检索了生物医学文献，找出1997年至2006年印度境内报告的霍乱病例数据，并与同一时期内每年报告给世界卫生组织的病例的数据进行比较。
We searched the biomedical literature to extract data on the cases of cholera reported in India from 1997 to 2006 and compared the Numbers found to those reported annually to WHO over the same period.
基于编辑距离和多种后处理的生物医学文献实体名识别方法通过“全称缩写对识别算法”扩充词典，利用编辑距离算法提高识别召回率。
In order to enhance the robustness of LTSA algorithm, an outlier detection method based on the improved distance is presented in this paper.
方法收集中国生物医学文摘（CBMD） 1987/1999的所有相关文献，进行系统综述、成本效益和灵敏度分析。
METHODS We collected all of related literatures in Chinese Biological Medicine Digest (CBMD) from 1987 to 1999. Then systematic review, cost effectiveness and sensitivity analysis were employed.
它们覆盖了生物医学和科学文献，发病率和死亡率统计，治疗方案，医学记录，图像和循证医学概述。
They cover biomedical and scientific literature, morbidity and mortality statistics, therapeutic regimens, medical records, images and reviews of evidence-based medicine.
美国国立医学图书馆(NLM)建立的医学文献分析和联机检索系统(MEDLI NE)是全球最具影响力的生物医学数据库。
Medical literature analysis and retrieval system online (MEDLINE) established by National Library of Medicine, USA (NLM) is the most important biomedical database all over the world.
美国国立医学图书馆(NLM)建立的医学文献分析和联机检索系统(MEDLI NE)是全球最具影响力的生物医学数据库。
Medical literature analysis and retrieval system online (MEDLINE) established by National Library of Medicine, USA (NLM) is the most important biomedical database all over the world.
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