'Semantic types' diaporamas de présentation

The Neighborhood Auditing Tool

The Neighborhood Auditing Tool. James Geller Michael Halper Yehoshua Perl C. Paul Morrey. Research Paper. C.P. Morrey, J. Geller, M. Halper, Y. Perl. The Neighborhood Auditing Tool: A hybrid interface for auditing the UMLS. J Biomed Inform , 42(3):468-89, 2009. 2. Overview.

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984 views • 76 slides

Semantic Retrieval and Distribution of Relevant Medical Knowledge

By Asmita Rahman Major Professor: Dr. Ismailcem Budak Arpinar. Semantic Retrieval and Distribution of Relevant Medical Knowledge. Outline:. Research Overview Motivation Related Works Approach Building Blocks Semantic Matchmaking Semantic Ranking Workflow Example Test Cases

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The Neighborhood Auditing Tool

The Neighborhood Auditing Tool. James Geller Yehoshua Perl C. Paul Morrey. Dayanand Sagar Kushal Chopra Sandeep Ramachandran Anisa Vishnani Aditi Dekhane Kandarp Shah Rajesh Gupta Suraj Pal Singh Saurabh Patel. Kartik Gopal Yakup Kav Rahul Bhave Sirish Motati Pratik Shah

835 views • 74 slides

CAS LX 502 Semantics

CAS LX 502 Semantics. 2a. Reference, Compositionality, Logic 2.1-2.3. Meaning as truth conditions. We know the meaning of p if we know the conditions under which p is true. conditions under which p is true = which are the possible worlds in which p holds

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Types of Meanings: Two is Better than Too Many

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James J. Cimino Department of Medical Informatics Columbia University

Battling Scylla and Charybdis: The Search for Redundancy and Ambiguity in the 2001 UMLS Metathesuarus. James J. Cimino Department of Medical Informatics Columbia University. 2001 Metathesaurus. 99 sources (92 in 2000) 1,734,707 strings (1,598,176 in 2000) 797,360 concepts (730,155 in 2000).

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The UMLS Semantic Network Alexa T. McCray Center for Clinical Computing

The UMLS Semantic Network Alexa T. McCray Center for Clinical Computing Beth Israel Deaconess Medical Center Harvard Medical School mccray@bidmc.harvard.edu. The Future of the UMLS Semantic Network National Library of Medicine, April 7, 2005. UMLS Project. Begun in 1986

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The UMLS Semantic Network Alexa T. McCray Center for Clinical Computing

The UMLS Semantic Network Alexa T. McCray Center for Clinical Computing Beth Israel Deaconess Medical Center Harvard Medical School mccray@bidmc.harvard.edu. The Future of the UMLS Semantic Network National Library of Medicine, April 7, 2005. UMLS Project. Begun in 1986

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XMDR Project Overview

Frank Olken & Kevin D. Keck {olken, kdkeck}@lbl.gov Lawrence Berkeley National Laboratory Presentation to Open Metadata Forum Kobe, Japan March 21, 2006. XMDR Project Overview. Extended Metadata Registry. XMDR means:. The Cast. Bruce Bargmeyer (LBNL) = Principal Investigator

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Towards Understanding of Natural Language: Neurocognitive Inspirations

Towards Understanding of Natural Language: Neurocognitive Inspirations. W?odzis?aw Duch Department of Informatics, Nicolaus Copernicus University, Toru?, Poland Pawe? Matykiewicz & John Pestian Department of Biomedical Informatics, Children's Hospital Research Foundation, Cincinnati, OH.

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Hybrid-Type Extensions for Actor-Oriented Modeling (a.k.a. Semantic Data-types for Kepler)

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An Extended Model of Natural Logic

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Annual reports and feedback from UMLS licensees

Kin Wah Fung MD, MSc, MA The UMLS Team National Library of Medicine. Workshop on the Future of the UMLS Semantic Network. Annual reports and feedback from UMLS licensees. Background.

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Charlotte Andersen John Pestian Karen Davis Lukasz Itert Pawe ? Matykewicz W? odzis ? aw Duch

The Semantic Retrieval System : Real-time System for Classifying and Retrieving Unstructured Pediatric Clinical Annotations. Charlotte Andersen John Pestian Karen Davis Lukasz Itert Pawe ? Matykewicz W? odzis ? aw Duch. Cincinnati, February 2005. Outline. The project Goals Focus

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Presented by: Priya Wadhwa

Retrieval of Similar Electronic Health Records Using UMLS Concept Graphs by: Laura plaza & ALBERTO DIAZ. Presented by: Priya Wadhwa. Outline. Introduction Related work EHRs Concept Annotation Retrieval of information Negation Detection Evaluation Methodology Conclusion & future work.

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UNIFIED MEDICAL LANGUAGE SYSTEMS (UMLS)

UNIFIED MEDICAL LANGUAGE SYSTEMS (UMLS). The Unified Medical Language System (UMLS) is a long term research and development project that started in 1986 by the U.S. National Library of Medicine (NLM) The UMLS is not a gigantic and comprehensive medical vocabulary

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Medical Document Categorization Using a Priori Knowledge

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An Unsupervised Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline

An Unsupervised Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline Bridget T McInnes University of Minnesota Twin Cities. Background and Introduction

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