基于中医药领域本体的信息检索模型研究

针对传统基于关键词匹配的中医药信息检索存在查全率和查准率低下的缺陷,将本体与潜在语义索引相结合,提出一种基于中医药领域本体的语义信息检索模型.该模型基于本体概念扩展树构建相应的查询扩展方法和语义向量空间模型,将用户查询和文档集映射到同一潜在语义空间,通过计算查询向量与文档之间的相似度返回检索结果.着重阐述了该模型的体系结构、实现过程和关键技术,并对其实用性进行论证.     

利用Internet查询生物医学信息

随着信息时代的到来 ,计算机网络正逐步渗透到每一个工作和研究领域 ,Ｉｎｔｅｒｎｅｔ已经成为全球最大的信息资源宝库 ,面对网络上纷繁复杂、浩如烟海的信息量 ,如何有效利用这些信息资源正日益成为人们关注的焦点。而对于广大医学科技工作者来说 ,如何在Ｉｎｔｅｒｎｅｔ上迅速而准确地查找到自己所需要的医学信息资料尤为重要。本文仅就一些与生物医学信息有关网站和数据库的查询作一介绍。1　利用网上专门的信息资源搜寻工具查询因特网上有许多专门提供信息检索服务的站点 ,即“搜索引擎”。搜索引擎可以给网络用户指明信息的查询和查…     

英文医学信息在线服务导航

本文从英文医学信息服务角度,阐述了医学图书情报人员于在线查询中的基本作用,着重介绍了经筛选后应为查询首选的PubMed英文医学信息检索系统及相关网站.     

医学主题词的模糊查询

本文介绍了许多用户在使用数据库时常常遇到利用不确定模糊条件来查找信息的情况。同时用户还可以利用该方法进行相关信息的查询和搜索工作，是查询和获取信息的有效方法。     

如何实现ASP的分页显示查询记录

我们在浏览网页时常常发现很多网页中使用了ＡＳＰ技术 ,将这项技术融入于网页中 ,会使网页更加具有动态感 ,也增加了用户与计算机之间的交互感 ,尤其是在网页中实现调用查询数据库记录时 ,不仅节省了计算机资源 ,提高查询速度 ,同时实现的方法也非常方便 ,但是本人在利用ＡＳＰ制作显示查询结果时发现 ,当用户通过查询得到的记录较少时 ,用户浏览显示页面没有问题 ,反之如果查询结果包括的记录数比较多时 ,用户在浏览页面时必须滑动页面才能看到所有记录 ,以下一种利用ＡＳＰ技术实现分页显示查询结果的网页制作技术。1　预备知识首先 ,我…     

互联网查询检验报告的研究与实践

目的使患者便捷地获得检验报告。方法：开发检验报告网上查询系统，与HIS、LIS系统进行数据交换。结果：用户从医院门户网站进入登录界面注册后，可以查询检验报告，系统会向用户发送新出检验报告通知。结论该系统的实施节省了患者的成本，在很大程度上改善了患者的就医体验，并且减少了医疗成本，在落实新医改要求方面进行了有益的探索。     

PubMed查询技巧探析

PubMed是国内外医学研究人员网上免费获取生物医学信息、查找循证医学证据的重要文献数据库系统.为帮助用户熟练使用PubMed,对其查询特点进行了分析研究.     

信息检索技术的发展概况及趋势

信息检索技术作为获取信息的方法和手段,已经经历了一段很长的发展过程.特别是计算机技术、通讯技术、多媒体技术和网络技术的发展进步,使信息处理的模式发生了转变,促进了信息技术的变革,产生了许多新颖、快速、方便的信息检索技术和方式,提高了各类信息的利用效率,方便了用户查询.笔者就信息检索技术的发展概况、现状及未来的发展趋势做了简要介绍.     

Internet医学信息质量及其网站选择

简单介绍网上医疗信息的质量、网站选择标准、提高医学信息检索质量的方法，建议用户上网查询利用医学信息，最好在专业人员的指导下利用专业网站进行，以免造成不必要的麻烦和不良影响。     

基于启发式规则的SPARQL本体查询

提出了基于启发式规则的SPARQL查询。用语言技术平台（LTP）解析出问句的依存分析树（DPT）,然后对问句集的依存分析树进行统计和分析,总结出用于查询三元组抽取的启发式规则,利用这些规则去掉无意义的查询三元组,合并和重组意义不完整的查询三元组。查询三元组经过类映射、实例映射和属性映射得到本体三元组,形成SPARQL查询。用户在B/S结构的查询界面中提交中文自然语言问句,得到中间结果和问句结果。实验结果表明了该方法的有效性。     

HIS环境下无线查询系统设计与实施

分析传统医院信息系统（HIS）中查询终端和服务器连接存在的问题,以广西中医学院附属瑞康医院为例,介绍HIS环境下无线查询系统的结构与具体设计,结果表明采用无线跳频技术可以实现医院复杂环境下的无线数据传输。     

Mapping techniques for document processing

An information retrieval system should provide references to the set of documents the user must evaluate in order to satisfy his/her information requirements. A major concern in this evaluation process is whether or not a document meets the user's needs. In many document retrieval systems there is no relevant information regarding the content of the documents. This makes it very difficult to evaluate if a document is relevant to the user's initial query. This suggests the need for a method to compare the documents on a word by word basis. Fully automated methods are too complex and difficult to generalize upon. A semiautomated user driven method for document mapping is described in this paper. It should decrease the amount of time required to validate the information content of a query.     

A Firefly Algorithm-based Approach for Pseudo-Relevance Feedback: Application to Medical Database

The difficulty of disambiguating the sense of the incomplete and imprecise keywords that are extensively used in the search queries has caused the failure of search systems to retrieve the desired information. One of the most powerful and promising method to overcome this shortcoming and improve the performance of search engines is Query Expansion, whereby the user’s original query is augmented by new keywords that best characterize the user’s information needs and produce more useful query. In this paper, a new Firefly Algorithm-based approach is proposed to enhance the retrieval effectiveness of query expansion while maintaining low computational complexity. In contrast to the existing literature, the proposed approach uses a Firefly Algorithm to find the best expanded query among a set of expanded query candidates. Moreover, this new approach allows the determination of the length of the expanded query empirically. Experimental results on MEDLINE, the on-line medical information database, show that our proposed approach is more effective and efficient compared to the state-of-the-art.     

Assisting Consumer Health Information Retrieval with Query Recommendations

ObjectiveHealth information retrieval (HIR) on the Internet has become an important practice for millions of people, many of whom have problems forming effective queries. We have developed and evaluated a tool to assist people in health-related query formation.DesignWe developed the Health Information Query Assistant (HIQuA) system. The system suggests alternative/additional query terms related to the user's initial query that can be used as building blocks to construct a better, more specific query. The recommended terms are selected according to their semantic distance from the original query, which is calculated on the basis of concept co-occurrences in medical literature and log data as well as semantic relations in medical vocabularies.MeasurementsAn evaluation of the HIQuA system was conducted and a total of 213 subjects participated in the study. The subjects were randomized into 2 groups. One group was given query recommendations and the other was not. Each subject performed HIR for both a predefined and a self-defined task.ResultsThe study showed that providing HIQuA recommendations resulted in statistically significantly higher rates of successful queries (odds ratio = 1.66, 95% confidence interval = 1.16–2.38), although no statistically significant impact on user satisfaction or the users' ability to accomplish the predefined retrieval task was found.ConclusionProviding semantic-distance-based query recommendations can help consumers with query formation during HIR.     

XL413通过抑制DNA复制诱导细胞凋亡来抑制结肠癌细胞增殖

目的：探讨抑制细胞分裂周期蛋白7(cell division cycle 7,CDC7)的药物XL413对结直肠癌细胞的影响及其作用机制。方法：在多个结直肠癌细胞系中分别加入生理盐水和不同浓度的XL413处理72 h，用细胞活力检测试剂盒(cell counting Kit-8,CCK-8)检测细胞在450 nm处的吸光度值并计算细胞存活率和XL413的半抑制浓度(half maximal inhibitory concentration,IC₅₀)值；Annexin V-FITC/PI双染法检测细胞凋亡；克隆形成实验检测细胞的再生能力；RNA-seq检测XL413对细胞转录组的影响；qRT-PCR法检测凋亡相关基因的mRNA表达量；Western blot检测DNA解旋微小染色体维持蛋白(minichromosome maintenance protein,MCM)复合体成员MCM2的磷酸化以及凋亡相关蛋白的表达水平。结果：与对照组相比，XL413处理组结直肠癌细胞的增殖、迁移、集落形成能力均下降(P=0.001 5)；细胞早期和晚期凋亡比例增高(P=0.000...     

Evaluation of a Content-Based Retrieval System for Blood Cell Images with Automated Methods

Content-based image retrieval techniques have been extensively studied for the past few years. With the growth of digital medical image databases, the demand for content-based analysis and retrieval tools has been increasing remarkably. Blood cell image is a key diagnostic tool for hematologists. An automated system that can retrieved relevant blood cell images correctly and efficiently would save the effort and time of hematologists. The purpose of this work is to develop such a content-based image retrieval system. Global color histogram and wavelet-based methods are used in the prototype. The system allows users to search by providing a query image and select one of four implemented methods. The obtained results demonstrate the proposed extended query refinement has the potential to capture a user’s high level query and perception subjectivity by dynamically giving better query combinations. Color-based methods performed better than wavelet-based methods with regard to precision, recall rate and retrieval time. Shape and density of blood cells are suggested as measurements for future improvement. The system developed is useful for undergraduate education.     

Bat-Inspired Algorithm Based Query Expansion for Medical Web Information Retrieval

With the increasing amount of medical data available on the Web, looking for health information has become one of the most widely searched topics on the Internet. Patients and people of several backgrounds are now using Web search engines to acquire medical information, including information about a specific disease, medical treatment or professional advice. Nonetheless, due to a lack of medical knowledge, many laypeople have difficulties in forming appropriate queries to articulate their inquiries, which deem their search queries to be imprecise due the use of unclear keywords. The use of these ambiguous and vague queries to describe the patients’ needs has resulted in a failure of Web search engines to retrieve accurate and relevant information. One of the most natural and promising method to overcome this drawback is Query Expansion. In this paper, an original approach based on Bat Algorithm is proposed to improve the retrieval effectiveness of query expansion in medical field. In contrast to the existing literature, the proposed approach uses Bat Algorithm to find the best expanded query among a set of expanded query candidates, while maintaining low computational complexity. Moreover, this new approach allows the determination of the length of the expanded query empirically. Numerical results on MEDLINE, the on-line medical information database, show that the proposed approach is more effective and efficient compared to the baseline.     

对国外有关癌症信息接收与担忧关联性研究及启示

对国外相关信息查询行为与人们癌症担忧之间关联性研究进行简要介绍,分析主动信息搜索和被动信息接收与癌症担忧行为之间的关系,指出健康信息对人们健康行为的具体影响,就如何规范和改善网络信息环境促进医疗健康行业良好发展提出意见和建议。     

跨语言信息检索翻译消歧技术发展研究

介绍跨语言信息检索的内涵与发展,详细阐述跨语言信息检索中存在的10种翻译消歧技术.从核心基础、应用状况、主要改善和发展前景4个纬度对跨语言信息检索各种翻译消歧技术进行对比分析并简要解释.在此基础上概括跨语言信息检索翻译消歧技术发展状况和趋势,提出未来研究的若干方向.