000 | 03891nam a2200649 i 4500 | ||
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001 | 6354187 | ||
003 | IEEE | ||
005 | 20220712204804.0 | ||
006 | m o d | ||
007 | cr |n||||||||| | ||
008 | 151223s2012 mau ob 001 eng d | ||
020 |
_a9780262305167 _qelectronic |
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020 | _a0262017695 | ||
020 | _a9780262017695 | ||
020 |
_z026230516X _qelectronic |
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035 | _a(CaBNVSL)mat06354187 | ||
035 | _a(IDAMS)0b00006481b4dbd5 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
050 | 4 |
_aR118.6 _b.S53 2012eb |
|
082 | 0 | 4 |
_a610.285 _223 |
100 | 1 |
_aShatkay, Hagit, _eauthor. _923922 |
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245 | 1 | 0 |
_aMining the biomedical literature / _cHagit Shatkay and Mark Craven. |
264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2012. |
|
264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2012] |
|
300 | _a1 PDF (150 pages). | ||
336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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490 | 1 | _aComputational molecular biology | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | _aFundamental Concepts in Biomedical Text Analysis -- Information Retrieval -- Information Extraction -- Evaluation -- Putting it All Together : Current Applications and Future Directions. | |
506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
520 | _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. | ||
530 | _aAlso available in print. | ||
538 | _aMode of access: World Wide Web | ||
588 | _aDescription based on PDF viewed 12/23/2015. | ||
650 | 0 |
_aInformation retrieval. _910134 |
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650 | 0 |
_aContent analysis (Communication) _923923 |
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650 | 0 |
_aInformation storage and retrieval systems _xBiology. _923924 |
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650 | 0 |
_aInformation storage and retrieval systems _xMedicine. _910978 |
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650 | 0 |
_aBioinformatics. _99561 |
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650 | 0 |
_aMedical informatics. _94729 |
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650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aBiological literature _xData processing. _923925 |
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650 | 0 |
_aMedical literature _xData processing. _923926 |
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650 | 1 | 2 |
_aData Mining. _93907 |
650 | 2 | 2 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 2 |
_aMedical Informatics. _94729 |
655 | 0 |
_aElectronic books. _93294 |
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700 | 1 |
_aCraven, Mark. _923928 |
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710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _923929 |
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710 | 2 |
_aMIT Press, _epublisher. _923930 |
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776 | 0 | 8 |
_iPrint version _z9780262017695 |
830 | 0 |
_aComputational molecular biology _922185 |
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856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6354187 |
942 | _cEBK | ||
999 |
_c73302 _d73302 |