基于网络的生物医学信息导航系统的研发

 

阐明了建立网络生物医学信息导航系统的现实意义，介绍了系统的概念、功能，并就建立网

络生物医学信息导航系统的方法步骤及需要注意的问题进行了探讨。

     

网上生物医学期刊投稿信息指南

 

在广泛调查的基础上，简要分析了网上生物医学期刊投稿信息的类型和特点，针对广大生物医学工作者需要，重点介绍了几种权威实用的中外期刊投稿信息源，并详细讲解了它们的检索方法。

     

EBSCO-MEDLINE与PubMed检索之比较

 

通过对EBSCO-MEDLINE与PubMed进行限定子集、检索界面、检索过程以及多个检索实例的比较，分析其异同以及各自的特点，为用户进行正确选择及有效检索提供参考。

     

山西省医学高等教育文献保障体系的建设与研究

 

从国家对高等教育文献保障体系的建设背景入手，阐述了山西医科大学图书馆充分利

用该馆丰富的文献资源，建设山西省医学高等教育文献信息保障体系的可行性

与必要性以及该保障体系的具体建设内容，指出建设该保障体系对全省医学教学、科研及

医疗工作的开展所起到的积极作用。

     

图书馆文献传递工作中版权问题的思考

 

在分析文献传递版权风险的基础上，介绍了国际图联和国际上一些主要国家在该问题上的立法及解决模式，并对我国解决文献传递版权问题提出了建议。

     

1994-2003年国内肿瘤学的文献计量研究

 

以CBMdisc和CHKD-J为数据来源，统计1994-2003年国内公开发表的肿瘤学研究文献并进行文献计量学分析,从而从文献量角度客观反映国内10年间肿瘤学研究的发展概况。

     

基于XML的PubMed生物医学工程文献的聚类分析方法的探讨

采用依据主题词表的聚类数据挖掘技术对基于可扩展标识语言（Extensible Markup Language，XML）的PubMed生物医学工程方面的文献进行分析，实现PubMed生物医学工程文献的概念导航，建立生物医学工程专题文献数据库，并利用加权的词频统计方法分析其文献主题分布。     

《中国生物医学期刊引文数据库》的作用及优势

《中国生物医学期刊引文数据库》(CMCI)全面地反映了我国近 10年来中文医学期刊文献的引 用和被引用情况。与国内其他综合性引文数据库相比，CMCI具有多种独特的功能和较高的查全率。

     

部分军队医学期刊论文关键词标引质量的调查

 

以中国生物医学文献数据库(CBMdisc)的主题标引为金标准，

对数据库中用主题词标引的23

种军队医学期刊，共计265篇医学论文关键词标引进行对比分析。发现其中存在4个方面问题：一是标引质量问题；二是主、副主题词组配错误；三是将缺乏检索意义的形容词、副词及专业上未得到公认和未被普遍使用的缩略词用作关键词；四是关键词数量普遍不足。为提高关键词标引质量，应重视关键词标引工作的意义，切忌随意性、潦草对待;配备最新的标引工具书;标引工作严格遵循标准化程序，提高整个行业的质量水平。

     

“一站式”医学文献资源整合系统的建立

 

对医学文献资源整合的必要性及其文献资源整合的类型进行了阐述，并提出了“一站式”医学文献资源整合系统建立的方法。

     

利用TRS建立生物医学开放存取全文期刊资源导航库

 

结合大连医科大学图书馆的生物医学开放存取(Open Access，OA)全文期刊资源导航库建设实践,侧重OA全文期刊资源整合，论述了应用TRS系统建立数据库的具体步骤，包括网上生物医学OA全文期刊资源的获取、建立TRS数据库、数据库在因特网的发布、数据库的维护更新等几个方面,最后提出OA全文期刊资源数据库发展前景。

     

Recommending MeSH terms for annotating biomedical articles

Background

Due to the high cost of manual curation of key aspects from the scientific literature, automated methods for assisting this process are greatly desired. Here, we report a novel approach to facilitate MeSH indexing, a challenging task of assigning MeSH terms to MEDLINE citations for their archiving and retrieval.

Methods

Unlike previous methods for automatic MeSH term assignment, we reformulate the indexing task as a ranking problem such that relevant MeSH headings are ranked higher than those irrelevant ones. Specifically, for each document we retrieve 20 neighbor documents, obtain a list of MeSH main headings from neighbors, and rank the MeSH main headings using ListNet–a learning-to-rank algorithm. We trained our algorithm on 200 documents and tested on a previously used benchmark set of 200 documents and a larger dataset of 1000 documents.

Results

Tested on the benchmark dataset, our method achieved a precision of 0.390, recall of 0.712, and mean average precision (MAP) of 0.626. In comparison to the state of the art, we observe statistically significant improvements as large as 39% in MAP (p-value <0.001). Similar significant improvements were also obtained on the larger document set.

Conclusion

Experimental results show that our approach makes the most accurate MeSH predictions to date, which suggests its great potential in making a practical impact on MeSH indexing. Furthermore, as discussed the proposed learning framework is robust and can be adapted to many other similar tasks beyond MeSH indexing in the biomedical domain. All data sets are available at: http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/indexing.     

A systematic review of automatic text summarization for biomedical literature and EHRs

ObjectiveBiomedical text summarization helps biomedical information seekers avoid information overload by reducing the length of a document while preserving the contents’ essence. Our systematic review investigates the most recent biomedical text summarization researches on biomedical literature and electronic health records by analyzing their techniques, areas of application, and evaluation methods. We identify gaps and propose potential directions for future research.Materials and MethodsThis review followed the PRISMA methodology and replicated the approaches adopted by the previous systematic review published on the same topic. We searched 4 databases (PubMed, ACM Digital Library, Scopus, and Web of Science) from January 1, 2013 to April 8, 2021. Two reviewers independently screened title, abstract, and full-text for all retrieved articles. The conflicts were resolved by the third reviewer. The data extraction of the included articles was in 5 dimensions: input, purpose, output, method, and evaluation.ResultsFifty-eight out of 7235 retrieved articles met the inclusion criteria. Thirty-nine systems used single-document biomedical research literature as their input, 17 systems were explicitly designed for clinical support, 47 systems generated extractive summaries, and 53 systems adopted hybrid methods combining computational linguistics, machine learning, and statistical approaches. As for the assessment, 51 studies conducted an intrinsic evaluation using predefined metrics.Discussion and ConclusionThis study found that current biomedical text summarization systems have achieved good performance using hybrid methods. Studies on electronic health records summarization have been increasing compared to a previous survey. However, the majority of the works still focus on summarizing literature.     

The Mushroom Crowd: Social and Political Aspects of Population Pressure

The meaning of population pressure is discussed and, with the help of a formula, its five main components (people, rate of increase of people, food-producing acreage, protein nutrition and industrialization) are analyzed.

Factors which have eased population pressure in the past are considered under the headings of political violence (war and genocide), natural disaster (famine and disease), and social action (increased local protein supply, emigration, industrialization and birth control).

Birth control is the first prerequisite to an easing of population pressure; the effectiveness of the Japanese and the Indian programs is discussed.

The crippling burden of preventable disease, shown to be a major obstacle to the development of sophisticated industries, presents a challenge to Western medical men who so far have done little to meet it.

     

学科群专业文献共建共知共享

介绍了学科群的巨大优势和学科群专业文献建设模式,详细阐述了依托中心图书馆,实现专业文献的共建、共知、共享的模式,指出了学科群专业文献建设要有一个前瞻的、长期的、稳定的规划.     

提高科技查新质量的相关因素

针对科技查新中存在的规范化管理、对查新工作的认知以及查新人员的综合素质等存在的问题,提出了建立规范化科技查新工作考核制度和体系,实现查新报告资源共享,加强科技查新服务宣传力度,提高查新队伍实力及人员素质等措施.     

地理信息系统与健康相关SCI论文主题词聚类分析

对Web of Science^TM核心合集数据库中地理信息系统（GIS）与健康相关的SCI论文进行计量学分析,统计高频主题词在同一文献中的出现频率并生成共现矩阵,使用SPSS对矩阵进行聚类分析,通过对各类文献内容分析进而获得该领域4个主要研究热点。