UMLS

出典: meddic

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出典(authority):フリー百科事典『ウィキペディア(Wikipedia)』「2015/06/13 20:19:05」(JST)

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英文文献

  • Comparing Medline citations using modified N-grams.
  • Nawab RM, Stevenson M, Clough P.Author information Department of Computer Science, COMSATS Institute of Information Technology, Lahore, Pakistan.AbstractOBJECTIVE: We aim to identify duplicate pairs of Medline citations, particularly when the documents are not identical but contain similar information.
  • Journal of the American Medical Informatics Association : JAMIA.J Am Med Inform Assoc.2014 Jan 1;21(1):105-10. doi: 10.1136/amiajnl-2012-001552. Epub 2013 May 28.
  • OBJECTIVE: We aim to identify duplicate pairs of Medline citations, particularly when the documents are not identical but contain similar information.MATERIALS AND METHODS: Duplicate pairs of citations are identified by comparing word n-grams in pairs of documents. N-grams are modified using two app
  • PMID 23715801
  • The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data.
  • Köhler S, Doelken SC, Mungall CJ, Bauer S, Firth HV, Bailleul-Forestier I, Black GC, Brown DL, Brudno M, Campbell J, Fitzpatrick DR, Eppig JT, Jackson AP, Freson K, Girdea M, Helbig I, Hurst JA, Jähn J, Jackson LG, Kelly AM, Ledbetter DH, Mansour S, Martin CL, Moss C, Mumford A, Ouwehand WH, Park SM, Riggs ER, Scott RH, Sisodiya S, Vooren SV, Wapner RJ, Wilkie AO, Wright CF, Vulto-van Silfhout AT, Leeuw Nd, de Vries BB, Washingthon NL, Smith CL, Westerfield M, Schofield P, Ruef BJ, Gkoutos GV, Haendel M, Smedley D, Lewis SE, Robinson PN.Author information Institute for Medical Genetics and Human Genetics, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany, Berlin-Brandenburg Center for Regenerative Therapies, Charité-Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany, Lawrence Berkeley National Laboratory, Mail Stop 84R0171, Berkeley, CA 94720, USA, The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK, Department of Medical Genetics, Cambridge University Addenbrooke's Hospital, Cambridge CB2 2QQ, UK, Université Paul Sabatier, Faculté de Chirurgie Dentaire, CHU Toulouse, France, Centre for Genomic Medicine, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre (MAHSC), Manchester, UK, Centre for Genomic Medicine, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, MAHSC, Manchester M13 9WL, UK, Institute of Genetic Medicine. Newcastle University, Central Parkway, Newcastle upon Tyne, NE1 3BZ, UK, Department of Computer Science, University of Toronto, Ontario, Canada, Centre for Computational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada, Department of Clinical Genetics, Leeds Teaching Hospitals NHS Trust, Leeds LS2 9NS, UK, MRC Human Genetics Unit, MRC Institute of Genetic and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK, The Jackson Laboratory, Bar Harbor, ME 04609, USA, Center for Molecular and Vascular Biology, University of Leuven, Belgium, Department of Neuropediatrics, University Medical Center Schleswig-Holstein, Kiel Campus, 24105 Kiel, Germany, NE Thames Genetics Service, Great Ormond Street Hospital, London WC1N 3JH, UK, Drexel University College of Medicine, Philadelphia, PA 19102, USA, Department of Haematology, University of Cambridge and NHS Blood and Transplant Cambridge, CB2 0PT Cambridge, UK, Autism and Developmental Medicine Institute, Geisinger Health SystemAbstractThe Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org, provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have developed logical definitions for 46% of all HPO classes using terms from ontologies for anatomy, cell types, function, embryology, pathology and other domains. This allows interoperability with several resources, especially those containing phenotype information on model organisms such as mouse and zebrafish. Here we describe the updated HPO database, which provides annotations of 7,278 human hereditary syndromes listed in OMIM, Orphanet and DECIPHER to classes of the HPO. Various meta-attributes such as frequency, references and negations are associated with each annotation. Several large-scale projects worldwide utilize the HPO for describing phenotype information in their datasets. We have therefore generated equivalence mappings to other phenotype vocabularies such as LDDB, Orphanet, MedDRA, UMLS and phenoDB, allowing integration of existing datasets and interoperability with multiple biomedical resources. We have created various ways to access the HPO database content using flat files, a MySQL database, and Web-based tools. All data and documentation on the HPO project can be found online.
  • Nucleic acids research.Nucleic Acids Res.2014 Jan 1;42(1):D966-74. doi: 10.1093/nar/gkt1026. Epub 2013 Nov 11.
  • The Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org, provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have d
  • PMID 24217912

和文文献

  • Virtual Medical Doctor (VMD) System Reasoning based on Ontology Integration(一般セッション,光と色の解析・表現とその応用)
  • 藤田 ハミド,羽倉 淳,榑松 理樹
  • 電子情報通信学会技術研究報告. PRMU, パターン認識・メディア理解 109(249), 79-84, 2009-10-15
  • … The diagnostician knowledge has been utilized through UMLS, and the integrating mapping of the two views been represented through OWL framework. …
  • NAID 110007484289
  • 概念データモデリングとプロブレムフレームを用いた情報システム実装手法
  • 吉田 和正,金田 重郎,芳賀 博英
  • 情報処理学会論文誌 50(2), 675-689, 2009-02-15
  • 情報システム設計における要求分析フェーズにおいて,ユースケースのように,情報システムの機能を最初に記述するアプローチを採用すると,対象業務が持つ問題点が残置されたり,業務内容変更に対応困難なシステムが構築されたりしがちである.特定非営利法人・技術データ管理支援協会の概念データモデリング(CDM)は,このような問題点を回避するために,『業務の中のあるべきデータの流れ』を明確化する手法として知られる. …
  • NAID 110007970362

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The UMLS integrates and distributes key terminology, classification and coding standards, and associated resources to promote creation of more effective and interoperable biomedical information systems and services, including ...
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