LEADER 04468nam 2200877 450 001 9910465851303321 005 20200520144314.0 010 $a1-283-55006-7 010 $a9786613862518 010 $a0-262-30516-X 024 8 $a9786613862518 035 $a(CKB)2560000000089495 035 $a(CaBNVSL)mat06354187 035 $a(IDAMS)0b00006481b4dbd5 035 $a(IEEE)6354187 035 $a(SSID)ssj0000701593 035 $a(PQKBManifestationID)11403575 035 $a(PQKBTitleCode)TC0000701593 035 $a(PQKBWorkID)10676044 035 $a(PQKB)11008610 035 $a(MiAaPQ)EBC3339479 035 $a(OCoLC)806959457 035 $a(MdBmJHUP)muse24488 035 $a(OCoLC)806959457$z(OCoLC)808609302$z(OCoLC)810531427$z(OCoLC)817807481$z(OCoLC)961633198$z(OCoLC)962698635$z(OCoLC)1055349517$z(OCoLC)1066442925$z(OCoLC)1081232036$z(OCoLC)1086443465 035 $a(OCoLC-P)806959457 035 $a(MaCbMITP)7438 035 $a(Au-PeEL)EBL3339479 035 $a(CaPaEBR)ebr10590966 035 $a(CaONFJC)MIL386251 035 $a(EXLCZ)992560000000089495 100 $a20151223d2012 uy 101 0 $aeng 135 $aur|n||||||||| 181 $2rdacontent 182 $2isbdmedia 183 $2rdacarrier 200 10$aMining the biomedical literature /$fHagit Shatkay and Mark Craven 210 1$aCambridge, Massachusetts :$cMIT Press,$dc2012. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2012] 215 $a1 PDF (150 pages) 225 1 $aComputational molecular biology 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-262-01769-5 320 $aIncludes bibliographical references and index. 327 $aFundamental Concepts in Biomedical Text Analysis -- Information Retrieval -- Information Extraction -- Evaluation -- Putting it All Together : Current Applications and Future Directions. 330 $aThe introduction of high-throughput methods has transformed biology into a data-rich science. Knowledge about biological entities and processes has traditionally been acquired by thousands of scientists through decades of experimentation and analysis. The current abundance of biomedical data is accompanied by the creation and quick dissemination of new information. Much of this information and knowledge, however, is represented only in text form--in the biomedical literature, lab notebooks, Web pages, and other sources. Researchers' need to find relevant information in the vast amounts of text has created a surge of interest in automated text-analysis.In this book, Hagit Shatkay and Mark Craven offer a concise and accessible introduction to key ideas in biomedical text mining. The chapters cover such topics as the relevant sources of biomedical text; text-analysis methods in natural language processing; the tasks of information extraction, information retrieval, and text categorization; and methods for empirically assessing text-mining systems. Finally, the authors describe several applications that recognize entities in text and link them to other entities and data resources, support the curation of structured databases, and make use of text to enable further prediction and discovery. 410 0$aComputational molecular biology 606 $aMedical literature$xData processing 606 $aBiological literature$xData processing 606 $aData mining 606 $aMedical informatics 606 $aBioinformatics 606 $aInformation storage and retrieval systems$xMedicine 606 $aInformation storage and retrieval systems$xBiology 606 $aContent analysis (Communication) 606 $aInformation retrieval 608 $aElectronic books. 615 0$aMedical literature$xData processing. 615 0$aBiological literature$xData processing. 615 0$aData mining. 615 0$aMedical informatics. 615 0$aBioinformatics. 615 0$aInformation storage and retrieval systems$xMedicine. 615 0$aInformation storage and retrieval systems$xBiology. 615 0$aContent analysis (Communication) 615 0$aInformation retrieval. 676 $a610.285 700 $aShatkay$b Hagit$01026335 701 $aCraven$b Mark$01026336 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910465851303321 996 $aMining the biomedical literature$92441202 997 $aUNINA