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An experimental search strategy retrieves more precise results than PubMed and Google for questions about medical interventions Robert G. Badgett, MD Department of Internal Medicine Kansas University Medical Center - Wic
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Document Date: 2014-11-10 11:29:29

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City

Birmingham / /

Company

Google / MEDLINE / Google Scholar / /

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Facility

MSIS Katy Campus Library / Internal Medicine Kansas University Medical Center / National Library of Medicine’s Medical Subject Headings / National Library of Medicine / University of Texas / /

IndustryTerm

search strategies / search terms / external search engines / search term / automated tools / search field / search strategy / experimental search engine / statistical software package / Internet address / candidate search terms / Internet page / Internet addresses / Web search engine / search engines / search precision / unsolicited search results / web search / search queries / retrieval algorithms / search query / experimental search strategy / search engine / search results / /

MedicalCondition

neoplasms / sickle cell anemia / urinary tract infections / hypertension / cancer / hyperlipidemia / anemia / /

Organization

University of Texas at Austin / AAMC-HHMI Scientific Foundation / ACP Journal Club / School of Information / Internal Medicine Kansas University Medical Center / SZB 562D University / Future Physicians Committee / /

Person

Susan D. Megison / Nelson PrePrints / Robert G. Badgett / Daniel P. Dylla / /

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Position

Governor / /

Product

Google Scholar / /

ProgrammingLanguage

R / /

ProvinceOrState

Texas / Iowa / /

PublishedMedium

Evidence Based Nursing / /

Technology

retrieval algorithms / search engine / digital object identifier / /

URL

http /

SocialTag