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ARTICLE IN PRESS Int. J. Human-Computer Studies[removed]–776 Testing a Cancer Meta Spider Hsinchun Chen*, Haiyan Fan, Michael Chau,
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Document Date: 2003-10-31 18:09:36


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File Size: 586,61 KB

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City

Tucson / /

Company

ARTICLE IN PRESS / IR ARTICLE IN PRESS / Google / AltaVista / Cancer Spider / Elsevier Ltd. / MEDLINE / Internet Working Group / UPenn Treebank / Yahoo / WebMD / /

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Event

Product Recall / Product Issues / /

Facility

University of Nottingham Greenfield Medical Library / National Library of Medicine / Oregon Health Sciences University / The University of Arizona / /

IndustryTerm

on-line health / These search terms / medical Web sites / Web portals / search terms / Internet search tool / prototype research systems / Web retrieval systems / Internet resources / search index / irrelevant Web pages / meta medical search tool / search keyword / suffix tree clustering algorithm / user Web search experience / healthcare applications / healthcare domain / low search precision / medical search site / cancer treatment / phrase extraction tools / present search results / on-line catalog / meta-search systems / healthcare / rst meta-search system / search scenario / medical search engines / domain-specific meta-search tool / medical Web directories / search performance / broader search context / free-text search engine / search systems / constructed on-the-fly using neural network algorithms / Web document clustering techniques / search engines / Web search engines / meta-search system / search precision / meta-search engine / search result pages / information search part / Web-based information sources / search queries / required user search effort / computing / healthcare information retrieval systems / meta-search tools / search query / Web directories / Web directory service / unrestricted Web-based publishing / healthcare profession / healthcare information / search engine / visualization tool / search results / information search process / search result filtering / medical search engines return web pages / /

Organization

National Cancer Institute / American Medical Informatics Association / Oregon Health Sciences University / Daniel Zeng Department of Management Information Systems / IDF / University of Arizona / /

Person

Meta Spider Hsinchun Chen / Tolle / Lawrence / Michael Chau / Giles / Daniel Zeng / /

Position

*Corresponding author / Physician Data Query / author / Porter / /

Product

Relevance-based / Spider / rate / /

ProvinceOrState

Arizona / /

PublishedMedium

Medical Literature / /

Technology

Self-Organizing Map algorithm / Tomography / automatically constructed on-the-fly using neural network algorithms / suffix tree clustering algorithm / search engine / machine learning / Neurosurgery / /

URL

www.medicalmatrix.org / www.webmed.com / www.drkoop.com / www.mayoclinic.com / www.cancer.gov/search / www.intelihealth.com / www.cbshealthwatch.com / www.ohsu.edu/cliniweb / www.nci.nih.gov/cancerinfo/pdq/cancerdatabase / www.yahoo.com/Health / www.ncbi.nlm.nih.gov/entrez/query.fcgi / /

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