Biomedical Literature Mining - download pdf or read online

By Vinod D. Kumar, Hannah Jane Tipney

ISBN-10: 1493907085

ISBN-13: 9781493907083

ISBN-10: 1493907093

ISBN-13: 9781493907090

Biomedical Literature Mining, discusses the a number of features of contemporary biomedical literature mining and its many purposes in genomics and structures biology. the quantity is split into 3 sections concentrating on details retrieval, built-in text-mining ways and domain-specific mining tools. Written within the hugely winning Methods in Molecular Biology sequence layout, chapters contain introductions to their respective themes, lists of the mandatory fabrics and reagents, step by step, with no trouble reproducible laboratory protocols and key tips about troubleshooting and warding off recognized pitfalls.

Authoritative and functional, Biomedical Literature Mining is designed as an invaluable bioinformatics source in biomedical literature textual content mining for either these lengthy skilled in or solely new to, the field.

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Ritu Khare et al. retrieval. J Am Med Inform Assoc 16(1):32– 36. M2935 Errami M, Wren JD, Hicks JM et al (2007) eTBLAST: a web server to identify expert reviewers, appropriate journals and similar publications. Nucleic Acids Res 35(Web Server issue):W12–W15. 1093/nar/gkm221 Fontaine JF, Barbosa-Silva A, Schaefer M et al (2009) MedlineRanker: flexible ranking of biomedical literature. Nucleic Acids Res 37(Web Server issue):W141–W146. 1093/nar/ gkp353 Ortuno FM, Rojas I, Andrade-Navarro MA et al (2013) Using cited references to improve the retrieval of related biomedical documents.

Bioinformatics 22(3):378–380. 1093/bioinformatics/ bti821 66. Schardt C, Adams MB, Owens T et al (2007) Utilization of the PICO framework to improve searching PubMed for clinical questions. BMC Med Inform Decis Mak 7:16. 1186/1472-6947-7-16 67. Richardson WS, Wilson MC, Nishikawa J et al (1995) The well-built clinical question: a key to evidence-based decisions. ACP J Club 123(3):A12–A13 68. Armstrong EC (1999) The well-built clinical question: the key to finding the best evidence efficiently. WMJ 98(2):25–28 69.

Modifiable parameters include the age of the article, the journal subset, and both the age group and the study design of the clinical trial reported. askMEDLINE is a system which accepts clinical queries in the form of natural language questions. The system is particularly designed to support users who are not medical experts. Ranking results in order of their relevance to the query is a wellsupported technique for reducing the workload of the user and is supported in most existing tools for searching the literature except PubMed itself.

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Biomedical Literature Mining by Vinod D. Kumar, Hannah Jane Tipney


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