Lana Yeganova,Donald C Comeau,Won Kim et al.
Lana Yeganova et al.
A significant fraction of queries in PubMed™ are multiterm queries without parsing instructions. Generally, search engines interpret such queries as collections of terms, and handle them as a Boolean conjunction of these terms. However, an...
Scatter Matters: Regularities and Implications for the Scatter of Healthcare Information on the Web [0.03%]
散播问题：网络医疗信息扩散的规律及影响
Suresh K Bhavnani,Frederick A Peck
Suresh K Bhavnani
Despite the development of huge healthcare Web sites and powerful search engines, many searchers end their searches prematurely with incomplete information. Recent studies suggest that users often retrieve incomplete information because of ...
Graciela Rosemblat,Melissa P Resnick,Ione Auston et al.
Graciela Rosemblat et al.
We describe the use of a domain-independent methodology to extend a natural language processing (NLP) application, SemRep (Rindflesch, Fiszman, & Libbus, 2005), based on the knowledge sources afforded by the Unified Medical Language System ...
Studying PubMed usages in the field for complex problem solving: Implications for tool design [0.03%]
PubMed在复杂问题解决中的使用研究：对工具设计的启示
Barbara Mirel,Jean Song,Jennifer Steiner Tonks et al.
Barbara Mirel et al.
Many recent studies on MEDLINE-based information seeking have shed light on scientists' behaviors and associated tool innovations that may improve efficiency and effectiveness. Few if any studies, however, examine scientists' problem-solvin...
Adapting Semantic Natural Language Processing Technology to Address Information Overload in Influenza Epidemic Management [0.03%]
适应流感大流行管理中的信息泛滥的语义自然语言处理技术
Alla Keselman,Graciela Rosemblat,Halil Kilicoglu et al.
Alla Keselman et al.
Explosion of disaster health information results in information overload among response professionals. The objective of this project was to determine the feasibility of applying semantic natural language processing (NLP) technology to addre...
Emphasizing Social Features in Information Portals: Effects on New Member Engagement [0.03%]
社交功能在信息平台上的强调对新成员参与度的影响
Nikhil Sharma,Brian S Butler,Jeannie Irwin et al.
Nikhil Sharma et al.
Many information portals are adding social features with hopes of enhancing the overall user experience. Invitations to join and welcome pages that highlight these social features are expected to encourage use and participation. While this ...
Statistical validation of a global model for the distribution of the ultimate number of citations accrued by papers published in a scientific journal [0.03%]
一种关于科学期刊上发表的论文累积最终被引次数分布的全球模型的统计检验
Michael J Stringer,Marta Sales-Pardo,Luís A Nunes Amaral
Michael J Stringer
A central issue in evaluative bibliometrics is the characterization of the citation distribution of papers in the scientific literature. Here, we perform a large-scale empirical analysis of journals from every field in Thomson Reuters' Web ...
Comparing a Rule Based vs. Statistical System for Automatic Categorization of MEDLINE Documents According to Biomedical Specialty [0.03%]
基于规则的方法和统计方法对MEDLINE文献按生物医学学科进行自动分类的比较
Susanne M Humphrey,Aurélie Névéol,Julien Gobeil et al.
Susanne M Humphrey et al.
Automatic document categorization is an important research problem in Information Science and Natural Language Processing. Many applications, including Word Sense Disambiguation and Information Retrieval in large collections, can benefit fr...
Word Sense Disambiguation by Selecting the Best Semantic Type Based on Journal Descriptor Indexing: Preliminary Experiment [0.03%]
基于期刊描述索引的词义消歧：选取最佳语义类型的初步试验
Susanne M Humphrey,Willie J Rogers,Halil Kilicoglu et al.
Susanne M Humphrey et al.
An experiment was performed at the National Library of Medicine((R)) (NLM((R))) in word sense disambiguation (WSD) using the Journal Descriptor Indexing (JDI) methodology. The motivation is the need to solve the ambiguity problem confrontin...
Natural Language Processing Versus Content-Based Image Analysis for Medical Document Retrieval [0.03%]
自然语言处理与基于内容的图像分析在医疗文档检索中的应用比较
Aurélie Névéol,Thomas M Deserno,Stéfan J Darmoni et al.
Aurélie Névéol et al.
One of the most significant recent advances in health information systems has been the shift from paper to electronic documents. While research on automatic text and image processing has taken separate paths, there is a growing need for joi...