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At least 55 records · Page 3Linked to original sources
PubMed2001

The poor quality of information about laparoscopy on the World Wide Web as indexed by popular search engines.

BACKGROUND: This study was undertaken to determine the quality of information on the Internet regarding laparoscopy. METHODS: Four popular World Wide Web search engines were used with the key word "laparoscopy." Advertisements, patient- or physician-directed information, and controversial material were noted. RESULTS: A total of 14,030 Web pages were found, but only 104 were unique Web sites. The majority of the sites were duplicate pages, subpages within a main Web page, or dead links. Twenty-eight of the 104 pages had a medical product for sale, 26 were patient-directed, 23 were written by a physician or group of physicians, and six represented corporations. The remaining 21 were "miscellaneous." The 46 pages containing educational material were critically reviewed. At least one of the senior authors found that 32 of the pages contained controversial or misleading statements. All of the three senior authors (LKN, NAO, GAF) independently agreed that 17 of the 46 pages contained controversial information. CONCLUSION: The World Wide Web is not a reliable source for patient or physician information about laparoscopy. Authenticating medical information on the World Wide Web is a difficult task, and no government or surgical society has taken the lead in regulating what is presented as fact on the World Wide Web.

Abstracting and Indexing↗
PubMed2005

Preliminary comparison of the Essie and PubMed search engines for answering clinical questions using MD on Tap, a PDA-based program for accessing biomedical literature.

MD on Tap, a PDA application that searches and retrieves biomedical literature, is specifically designed for use by mobile healthcare professionals. With the goal of improving the usability of the application, a preliminary comparison was made of two search engines (PubMed and Essie) to determine which provided most efficient path to the desired clinically-relevant information.

Computers, Handheld↗
PubMed1999

Multimedia explorer: image database, image proxy-server and search-engine.

Multimedia plays a major role in medicine. Databases containing images, movies or other types of multimedia objects are increasing in number, especially on the WWW. However, no good retrieval mechanism or search engine currently exists to efficiently track down such multimedia sources in the vast of information provided by the WWW. Secondly, the tools for searching databases are usually not adapted to the properties of images. HTML pages do not allow complex searches. Therefore establishing a more comfortable retrieval involves the use of a higher programming level like JAVA. With this platform independent language it is possible to create extensions to commonly used web browsers. These applets offer a graphical user interface for high level navigation. We implemented a database using JAVA objects as the primary storage container which are then stored by a JAVA controlled ORACLE8 database. Navigation depends on a structured vocabulary enhanced by a semantic network. With this approach multimedia objects can be encapsulated within a logical module for quick data retrieval.

Computer Graphics↗
PubMed2001

Using internet search engines and library catalogs to locate toxicology information.

The increasing importance of the Internet demands that toxicologists become aquainted with its resources. To find information, researchers must be able to effectively use Internet search engines, directories, subject-oriented websites, and library catalogs. The article will explain these resources, explore their benefits and weaknesses, and identify skills that help the researcher to improve search results and critically evaluate sources for their relevancy, validity, accuracy, and timeliness.

Catalogs, Library↗
PubMed2004

Sexual information seeking on web search engines.

Sexual information seeking is an important element within human information behavior. Seeking sexually related information on the Internet takes many forms and channels, including chat rooms discussions, accessing Websites or searching Web search engines for sexual materials. The study of sexual Web queries provides insight into sexually-related information-seeking behavior, of value to Web users and providers alike. We qualitatively analyzed queries from logs of 1,025,910 Alta Vista and AlltheWeb.com Web user queries from 2001. We compared the differences in sexually-related Web searching between Alta Vista and AlltheWeb.com users. Differences were found in session duration, query outcomes, and search term choices. Implications of the findings for sexual information seeking are discussed.

Disclosure↗
PubMed1999

The efficacy of using search engines in procuring information about orthopaedic foot and ankle problems from the World Wide Web.

This study has attempted to demonstrate the feasibility of obtaining information specific to foot and ankle orthopaedics from the World Wide Web (WWW). Six search engines (Lycos, AltaVista, Infoseek, Excite, Webcrawler, and HotBot) were used in scanning the Web for the following key words: "cavus foot," "diabetic foot," "hallux valgus,"and "pes equinovarus." Matches were classified by language, provider, type, and relevance to medical professionals or to patients. Sixty percent (407 sites) of the visited websites contained information intended for use by physicians and other medical professionals; 30% (206 sites) were related to patient information; 10% of the sites were not easily classifiable. Forty-one percent (169 sites) of the websites were commercially oriented homepages that included advertisements.

Ankle↗
PubMed1994

A portable search engine and browser for the Entrez database.

Entrez is a molecular sequence and reference database. We present a tool called CLEVER which permits flexible access to the Entrez database by other applications and interactively by users. In this way, CLEVER is both a search engine and a command-line browser of the Entrez database.

Computer Communication Networks↗
PubMed2007

Relemed: sentence-level search engine with relevance score for the MEDLINE database of biomedical articles.

BACKGROUND: Receiving extraneous articles in response to a query submitted to MEDLINE/PubMed is common. When submitting a multi-word query (which is the majority of queries submitted), the presence of all query words within each article may be a necessary condition for retrieving relevant articles, but not sufficient. Ideally a relationship between the query words in the article is also required. We propose that if two words occur within an article, the probability that a relation between them is explained is higher when the words occur within adjacent sentences versus remote sentences. Therefore, sentence-level concurrence can be used as a surrogate for existence of the relationship between the words. In order to avoid the irrelevant articles, one solution would be to increase the search specificity. Another solution is to estimate a relevance score to sort the retrieved articles. However among the >30 retrieval services available for MEDLINE, only a few estimate a relevance score, and none detects and incorporates the relation between the query words as part of the relevance score. RESULTS: We have developed "Relemed", a search engine for MEDLINE. Relemed increases specificity and precision of retrieval by searching for query words within sentences rather than the whole article. It uses sentence-level concurrence as a statistical surrogate for the existence of relationship between the words. It also estimates a relevance score and sorts the results on this basis, thus shifting irrelevant articles lower down the list. In two case studies, we demonstrate that the most relevant articles appear at the top of the Relemed results, while this is not necessarily the case with a PubMed search. We have also shown that a Relemed search includes not only all the articles retrieved by PubMed, but potentially additional relevant articles, due to the extended 'automatic term mapping' and text-word searching features implemented in Relemed. CONCLUSION: By using sentence-level matching, Relemed can deliver higher specificity, thus eliminating more false-positive articles. By introducing an appropriate relevance metric, the most relevant articles on which the user wishes to focus are listed first. Relemed also shrinks the displayed text, and hence the time spent scanning the articles.

Algorithms↗
PubMed2005

A CLIR Interface to a Web search engine.

Medical document retrieval presents a unique combination of challenges for the design and implementation of retrieval engines. We introduce a method to meet these challenges by implementing a multilingual retrieval interface for biomedical content in the World Wide Web. To this end we developed an automated method for interlingual query construction by which a standard Web search engine is enabled to process non-English queries from the biomedical domain in order to retrieve English documents.

Abstracting and Indexing↗
PubMed2004

'Harvester': a fast meta search engine of human protein resources.

SUMMARY: We have developed a Web-based tool named 'Harvester' that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. The information on every single protein is assembled on a single HTML page as a combination of database screen-shots and plain text. A full text meta search engine, similar to Google trade mark, allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. A feedback forum allows users to comment on Harvester and to report database inconsistencies. AVAILABILITY: The service is freely available to the academic community at http://harvester.embl.de.

Database Management Systems↗
PubMed2005

GeneRank: using search engine technology for the analysis of microarray experiments.

BACKGROUND: Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a "treated" sample where the treatment can be of many types from drug exposure to genetic variation. Interpretation of the results usually combines lists of differentially expressed genes with previous knowledge about their biological function. Here we evaluate a method--based on the PageRank algorithm employed by the popular search engine Google--that tries to automate some of this procedure to generate prioritized gene lists by exploiting biological background information. RESULTS: GeneRank is an intuitive modification of PageRank that maintains many of its mathematical properties. It combines gene expression information with a network structure derived from gene annotations (gene ontologies) or expression profile correlations. Using both simulated and real data we find that the algorithm offers an improved ranking of genes compared to pure expression change rankings. CONCLUSION: Our modification of the PageRank algorithm provides an alternative method of evaluating microarray experimental results which combines prior knowledge about the underlying network. GeneRank offers an improvement compared to assessing the importance of a gene based on its experimentally observed fold-change alone and may be used as a basis for further analytical developments.

Algorithms↗
PubMed2003

GeneHopper: a web-based search engine to link gene-expression platforms through GenBank accession numbers.

Global gene-expression analysis is carried out using different technologies that are either array- or sequence-tag-based. To compare experiments that are performed on these different platforms, array probes and sequence tags need to be linked. An additional challenge is cross-referencing between species, to compare human profiles with those obtained in a mouse model, for example. We have developed the web-based search engine GeneHopper to link different expression resources based on UniGene clusters and HomoloGene orthologs databases of the National Center for Biotechnology Information (NCBI).

Animals↗
PubMed2003

BioWareDB: the biomedical software and database search engine.

UNLABELLED: A wealth of bioinformatics tools and databases has been created over the last decade and most are freely available to the general public. However, these valuable resources live a shadow existence compared to experimental results and methods that are widely published in journals and relatively easily found through publication databases such as PubMed. For the general scientist as well as bioinformaticists, these tools can deliver great value to the design and analysis of biological and medical experiments, but there is no inventory presenting an up-to-date and easily searchable index of all these resources. To remedy this, the BioWareDB search engine has been created. BioWareDB is an extensive and current catalog of software and databases of relevance to researchers in the fields of biology and medicine, and presently consists of 2800 validated entries. AVAILABILITY: BioWareDB is freely available over the Internet at http://www.biowaredb.org/

Abstracting and Indexing↗
PubMed1999

A search engine for virtual patient records.

Virtual patient records provide a means for integrated access to patient information that may be scattered around different healthcare settings. Within the boundaries of a health district providing all levels of care, this concept can be implemented in an Intranet environment to support longitudinal patient care activities across the participating healthcare providers. Since medical information is stored on multiple Intranet sites in various forms (e.g. codified data, transcribed documents, and images), a suite of appropriate tools is needed to enable access to such information in combined form. In most cases, however, access to medical information should be restricted to authorized users. To serve this purpose, a prototype search engine incorporating an authorization and access control functionality has been developed and presented in this paper. The system is based on the signature file access method and an experimental implementation written in JAVA is also described.

Database Management Systems↗
PubMed1998

Criteria for evaluating alternative MEDLINE search engines.

With so many options available for searching MEDLINE on the World Wide Web or as a component of an online service, evaluation criteria are suggested as a means of assisting librarians in determining the positive and negative aspects of alternative MEDLINE sites. A set of searches was utilized to systematically compare MEDLINE sites. Sites evaluated included Avicenna, America Online, HealthGate, PubMed, Medscape, and Physicians' Online. Some features used to evaluate these sites were: default fields; operators (default); access to MeSH; subheadings; stop words protected in MeSH; truncation; and stemming. This article will describe the group process used to arrive at the evaluation criteria, as well as some general conclusions which will help librarians in directing their users to a particular MEDLINE site.

Abstracting and Indexing↗
PubMed2004

Vaidurya--a concept-based, context-sensitive search engine for clinical guidelines.

A major problem in the effective use of clinical guidelines is fast and accurate access at the point of care. Thus, we are developing a digital electronic guideline library (DeGeL) and a set of tools for incremental conversion of free-text guide-lines into increasingly machine-comprehensible representations, which support automated application. Even if guidelines are represented in electronic fashion, care providers need to be able to quickly retrieve the guidelines that best fit the clinical situation at hand. We describe Vaidurya, a search and retrieval engine that exploits the hybrid nature of guideline representation in the DeGeL architecture. Vaidurya can use not only free-text keywords, but also multiple semantic indices along which the guidelines are classified, and the mark up of guidelines in DeGeL, using the semantic roles of one or more guideline-representation languages. Preliminary evaluation of Vaidurya in a standard information task and a large guide-line repository is encouraging; formal evaluation is under way.

Algorithms↗
PubMed2003

Development of an indexing search engine for the UMVF: proposal for an indexing method based on Dublin Core and XML.

The UMVF (French Virtual Medical University) has many heterogeneous resources hosted by the servers of university partners of the project. One of its objectives is to develop an efficient tool to perform a single search on these resources. We first defined a standardized and interoperable indexing method. For each document, an XML file containing information on the fifteen elements of Dublin Core was created. We checked its structure and content with a DTD. If the XML file was valid, its data were then integrated into a central database from which the engine carried out a search. We tested our tool successfully with the resources hosted by the Rennes Laboratory of Medical Informatics in cooperation with the Radiology Medical Campus [1]. Our method allows the standardization of the production of information by the various servers and it conforms to the constraints of the semantic Web owing to the technologies chosen.

Abstracting and Indexing↗
PubMedDate not supplied

A novel search engine for virtual screening of very large databases.

Virtual screening of large chemical databases using the structure of the receptor can be computationally very demanding. We present a novel strategy that combines exhaustive similarity searches directly in SMILES format with the docking of flexible ligands, whose 3D structure is generated on the fly from the SMILES representation. Our strategy makes use of the recently developed LINGO tools to extract implicit chemical information from SMILES strings and integrates LINGO similarities into a pseudo-evolutionary algorithm. The algorithm represents a combination of a fast target-independent similarity method with a slower but information richer target-focused method. A virtual search of FactorXa ligands provided 62% of the potential hits after docking only 6.5% of a database of nearly 1 million molecules. The set of solutions showed good diversity, indicating that the method shows good scaffold hopping capabilities.

Algorithms↗