04468nam 2200877 450 991046585130332120200520144314.01-283-55006-797866138625180-262-30516-X9786613862518(CKB)2560000000089495(CaBNVSL)mat06354187(IDAMS)0b00006481b4dbd5(IEEE)6354187(SSID)ssj0000701593(PQKBManifestationID)11403575(PQKBTitleCode)TC0000701593(PQKBWorkID)10676044(PQKB)11008610(MiAaPQ)EBC3339479(OCoLC)806959457(MdBmJHUP)muse24488(OCoLC)806959457(OCoLC)808609302(OCoLC)810531427(OCoLC)817807481(OCoLC)961633198(OCoLC)962698635(OCoLC)1055349517(OCoLC)1066442925(OCoLC)1081232036(OCoLC)1086443465(OCoLC-P)806959457(MaCbMITP)7438(Au-PeEL)EBL3339479(CaPaEBR)ebr10590966(CaONFJC)MIL386251(EXLCZ)99256000000008949520151223d2012 uy engur|n|||||||||rdacontentisbdmediardacarrierMining the biomedical literature /Hagit Shatkay and Mark CravenCambridge, Massachusetts :MIT Press,c2012.[Piscataqay, New Jersey] :IEEE Xplore,[2012]1 PDF (150 pages)Computational molecular biologyBibliographic Level Mode of Issuance: Monograph0-262-01769-5 Includes bibliographical references and index.Fundamental Concepts in Biomedical Text Analysis -- Information Retrieval -- Information Extraction -- Evaluation -- Putting it All Together : Current Applications and Future Directions.The 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.Computational molecular biologyMedical literatureData processingBiological literatureData processingData miningMedical informaticsBioinformaticsInformation storage and retrieval systemsMedicineInformation storage and retrieval systemsBiologyContent analysis (Communication)Information retrievalElectronic books.Medical literatureData processing.Biological literatureData processing.Data mining.Medical informatics.Bioinformatics.Information storage and retrieval systemsMedicine.Information storage and retrieval systemsBiology.Content analysis (Communication)Information retrieval.610.285Shatkay Hagit1026335Craven Mark1026336CaBNVSLCaBNVSLCaBNVSLBOOK9910465851303321Mining the biomedical literature2441202UNINA