Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Text-based Discovery in Biomedicine The Architecture.

Slides:



Advertisements
Similar presentations
PubMed.
Advertisements

Medical Informatics Congress 2004 Brussels, November 25, 2004 From Patient Data to Information Needs Loes Braun a, Floris Wiesman b, Jaap van den Herik.
Semantic indexing in PubMed CERN Workshop on Innovations in Scholarly Communication (OAI8) CERN Workshop on Innovations in Scholarly Communication (OAI8)
Knowledge Enabled Information and Services Science Schema-Driven Relationship Extraction from Unstructured Text Cartic Ramakrishnan Kno.e.sis Center, Wright.
1 Schema-Driven Relationship Extraction from Unstructured Text Cartic Ramakrishnan, Krys Kochut and Amit Sheth LSDIS Lab, University of Georgia, Athens,
Semantic Medline: Multi-Document Summarization and Visualization Thomas C. Rindflesch, Ph.D. Marcelo Fiszman, M.D., Ph.D. Halil Kilicoglu, M.S. Lister.
Searching Pubmed Database استخدام قاعدة المعلومات Pubmed د. سيناء عبد المحسن العقيل قسم الصيدلة الإكلينيكية برنامج مهارات البحث العلمي.
The Scientific Library of NUPh for English-speaking students: services and electronic resources.
Prof. Carolina Ruiz Computer Science Department Bioinformatics and Computational Biology Program WPI WELCOME TO BCB4003/CS4803 BCB503/CS583 BIOLOGICAL.
NATIONAL LIBRARY OF MEDICINE The PubMed ID and Entrez, PubMed and PubMed Central Edwin Sequeira National Center for Biotechnology Information June 21,
The NLM Controlled Vocabulary Medical Subject Headings (MeSH) PubMed for Trainers, Spring 2015 U.S. National Library of Medicine (NLM) and NLM Training.
Literature Informatics Beyond PubMed: Next Generation Literature Searching Carrie Iwema, PhD, MLS 24 th August 2011.
U. S. National Library of Medicine Welcome to the first MMTx User’s Group Meeting AMIA 2003 November 11, 2003.
Automating Discovery from Biomedical Texts Marti Hearst & Barbara Rosario UC Berkeley Agyinc Visit August 16, 2000.
Intelligent Information Directory System for Clinical Documents Qinghua Zou 6/3/2005 Dr. Wesley W. Chu (Advisor)
Future Trends: Translational Informatics James J. Cimino Chief, Laboratory for Informatics Development Mark O. Hatfield Clinical Research Center National.
CSE 730 Information Retrieval of Biomedical Data The use of medical lexicon in biomedical IR.
Dr MOHAMMED H SAIEMALDAHR FACULTY of Applied Medical Sciences
What is “Biomedical Informatics”?. Biomedical Informatics Biomedical informatics (BMI) is the interdisciplinary field that studies and pursues.
The LINDI Project Linking Information for New Discoveries UIs for building and reusing hypothesis seeking strategies. Statistical language analysis techniques.
B IOMEDICAL T EXT M INING AND ITS A PPLICATION IN C ANCER R ESEARCH Henry Ikediego
Unified Medical Language System® (UMLS®) NLM Presentation Theater MLA 2007 National Library of Medicine National Institutes of Health U.S. Dept. of Health.
Literature-based Discovery in Biomedicine Five Potentially New Therapeutic Applications for Thalidomide Marc Weeber 1,2 Grietje Molema 2 1 National Library.
Datamining MEDLINE for Topics and Trends in Dental and Craniofacial Research William C. Bartling, D.D.S. NIDCR/NLM Fellow in Dental Informatics Center.
BY OBAJE, ALFRED MICHAEL (DBA., B.SC., M.L.S.) MEDICAL SCIENCES LIBRARIAN 1 Library E-resources Sensitization and Demonstrations for 400 Level Medical.
Biomedical Text Mining (BTM)
How to do a literature search Saharuddin Ahmad Aida Jaffar Department of Family Medicine.
Text- and Content-based Approaches to Image Retrieval for the ImageCLEF 2009 Medical Retrieval Track Matthew Simpson, Md Mahmudur Rahman, Dina Demner-Fushman,
Unified Medical Language System® (UMLS®) NLM Presentation Theater MLA 2005 May 16 & 17, 2005 Rachel Kleinsorge.
Session II: Scientific Publishing and Semantic Web W3C Semantic Web for Life Sciences Workshop October 27, 2004 Moderator: Alan R. Aronson.
Olivier Bodenreider Lister Hill National Center for Biomedical Communications Bethesda, Maryland - USA Experiences in visualizing and navigating biomedical.
What Does Fish Oil Have to do with Technology Transfer? Anthony Breitzman, Ph.D Federal Laboratory Consortium Mid-Atlantic Regional Meeting Rocky Gap Resort,
1 How to find literature - A very short introduction SMED 8004 Medicine and Health Library October 2014.
Knowledge Discovery in the Digital Library Access tools for mining science ICSTI Public Workshop Presented by: Bernard Dumouchel, Director-General February.
Semi-Automatic Indexing of Full Text Biomedical Articles Washington D.C. October 25, 2005 Clifford W. Gay Lister Hill National Center for Biomedical Communications.
Knowledge Representation and Indexing Using the Unified Medical Language System Kenneth Baclawski* Joseph “Jay” Cigna* Mieczyslaw M. Kokar* Peter Major.
Integrated Biomedical Information for Better Health Workprogramme Call 4 IST Conference- Networking Session.
Biomedical Databases & Tools Rolando Garcia-Milian Biomedical & Health Information Services Department Health Sciences Center Library.
Next generation semantic support technology CD40 ligand and tumor necro sis factor alpha, the cells acquire a mature phenotype of dendritic cells that.
Discovering Gene-Disease Association using On-line Scientific Text Abstracts. Raj Adhikari Advisor: Javed Mostafa.
Searching Medline Alex Denby Regional MI Manager London Medicines Information Service (Northwick Park Hospital)
Food and Agriculture Organization of the UN Library and Documentation Systems Division GILW FAO's activities on Thesauri and Terminology Systems.
An integrative approach to drug repositioning: a use case for semantic web technologies Paul Rigor Institute for Genomics and Bioinformatics Donald Bren.
Knowledge-Based Semantic Interpretation for Summarizing Biomedical Text Thomas C. Rindflesch, Ph.D. Marcelo Fiszman, M.D., Ph.D. Halil Kilicoglu, M.S.
Indexing Mathematical Abstracts by Metadata and Ontology IMA Workshop, April 26-27, 2004 Su-Shing Chen, University of Florida
Sharing Ontologies in the Biomedical Domain Alexa T. McCray National Library of Medicine National Institutes of Health Department of Health & Human Services.
Multi-agent Systems in Medicine Štěpán Urban. Content  Introduction to Multi-agent Systems (MAS) What is an Agent? Architecture of Agent MAS Platforms.
Electronic Resources for Psychology Karine Barker and Kate Williams 8 th February 2006.
Medical searching Kazem Heidari. Reading in medicine Browsing  Reading for fun of it  Books and journals are used. Reading for information  Approach.
Enabling complex queries to drug information sources through functional composition Olivier Bodenreider Lister Hill National Center for Biomedical Communications.
Using Domain Ontologies to Improve Information Retrieval in Scientific Publications Engineering Informatics Lab at Stanford.
1 Literature-Based Knowledge Discovery using Natural Language Processing Dimitar Hristovski, 1 PhD, Carol Friedman, 2 PhD, Thomas C Rindflesch, 3 PhD,
Handling Floods of Literature: BioMedical Document Management Andrew Dolbey Center for Computational Pharmacology University of Colorado, School of Medicine.
1 Semantic Relations for Interpreting DNA Microarray Data and for Novel Hypotheses Generation Dimitar Hristovski, 1 PhD, Andrej Kastrin, 2 Borut Peterlin,
Medical Text Indexing Joe Thomas Unit Supervisor Index Section, NLM.
PubMed …featuring more than 20 million citations for biomedical literature from MEDLINE, life science journals, and online books.
Automatically Identifying Candidate Treatments from Existing Medical Literature Catherine Blake Information & Computer Science University.
Medical Subject Headings (MeSH)
MEDLINE®/PubMed® PubMed for Trainers, Fall 2015 U.S. National Library of Medicine (NLM) and NLM Training Center An introduction.
GUIDE. P UB M ED
Eicosapentaenoic Acid Eicosapentaenoic acid Eicosapentaenoic acid (EPA) is an omega-3 fatty acid.
UNIFIED MEDICAL LANGUAGE SYSTEMS (UMLS)
The UMLS and the Semantic Web
Institutional support IN development of Transferable Skills
RaJoLink: Creative Knowledge Discovery by Literature Outlier Detection
Lindsay & Gordon’s Discovery Support Systems Model
John MacMullen SILS Bioinformatics Journal Club Fall 2002
ONLINE LITERATURE SEARCH By Using MEDLINE PUBMED HINARI
Lívia Vasas, PhD 2018 The National Library of Medicine and its databases Mozilla Firefox/Google Chrome Lívia Vasas, PhD.
International Marketing and Output Database Conference 2005
Presentation transcript:

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Text-based Discovery in Biomedicine The Architecture of the DAD-system Marc Weeber 1,2, Henny Klein 1, Alan R. Aronson 2, Jim G. Mork 2, Lolkje T. W. de Jong - van den Berg 1, Rein Vos 1,3 1 Department of Social Pharmacy and Pharmacoepidemiology, Groningen University Institute for Drug Exploration, The Netherlands 2 Lister Hill National Center for Biomedical Communication, National Library of Medicine, Bethesda, MD 3 Health Ethics and Philosophy, Faculty of Health Sciences, University of Maastricht, The Netherlands

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Introduction Goal: Finding new biomedical knowledge through the combination of existing knowledge as represented in the medical literature Motivation: Prevention of re-inventing the wheel, re-usage of specific knowledge outside the original domain of discovery

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Swanson AB: Raynaud’s disease is characterized by high blood viscosity and high platelet aggregation BC: Fish oil is known to reduce blood viscosity and platelet aggregation ACB ?

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Vos and Rikken Drugs instead of diet factors Intermediate (B) terms are adverse drug reactions Drug – Adverse drug reactions – Disease: The DAD-system Vos (1991) Drugs looking for diseases

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Existing Techniques Swanson & Smalheiser: Single words/multi word terms MEDLINE titles No statistics Gordon & Lindsay: Single words/multi word terms Information Retrieval statistics Replication of Swanson’s discoveries

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications New Techniques Use of UMLS concepts PubMed MetaMap: mapping free text (MEDLINE titles and abstracts) to concepts Interactive web interface

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Two-step Approach Open discovery, generating a hypothesis A?? Closed discovery, testing a hypothesis AC?

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Why UMLS Concepts? Use of only biomedically relevant information Useful transition from single word to multi word term Semantic information (semantic types) for filtering (e.g. select only Disease or Syndrome)

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications DAD-system Meta- thesaurus Specialist Lexicon PubMedSemantic Network MetaMap KS

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications DAD-system Meta- thesaurus MySQL Database Specialist Lexicon PubMedSemantic Network MetaMap Filter Txt2Con QueryShow Select KS

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications DAD-system Meta- thesaurus MySQL Database Specialist Lexicon PubMedSemantic Network MetaMap Filter Txt2Con QueryShow Select KS

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications A Open Discovery Query (user input): raynaud’s disease

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications A Open Discovery Mapping text to concept through MetaMap: Raynaud's Disease [Disease or Syndrome]

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications A Open Discovery Synonym lookup: Raynaud's syndrome Raynaud's disease /phenomenon Variant generation: e.g. syndrome / syndromes

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications A Open Discovery PubMed query: raynaud OR raynauds Processing: query in titles and abstracts Result: 1,246 MEDLINE citations

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications A Open Discovery Text to concept mapping of all citations Sentences with Raynaud’s disease Result: 1,278 UMLS concepts

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications A Open Discovery Select functional/physiological concepts Semantic types in filter: Body Location or Region Biologic Function Cell Function Phenomenon or Process Physiologic Function Tissue

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AB Open Discovery Result: 57 Concepts Frequency range: 1- 18

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AB Open Discovery Selected B-concepts: Plasma Viscosity Level Blood Viscosity Platelet Adhesiveness Platelet Aggregation Effects, Blood Coagulation

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AB Open Discovery Variants: plasma, plasmas viscosity, viscous, aggregation, aggregations, aggregating coagulation, coagulating

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AB Open Discovery PubMed query: blood coagulation OR blood viscosity OR plasma viscosity OR platelet adhesiveness OR platelet aggregation Result: 10,611 MEDLINE citations

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AB Open Discovery Concepts in sentences with B-concepts: 7,702 Concepts not in Raynaud sentences: 6,747

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AB Open Discovery Filter for dietary related concepts Semantic types in filter: Vitamin Lipid Element, Ion, or Isotope

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications ABC Open Discovery Eicosapentaenoic Acid Fish Oil Fatty Acids, Omega 3 MAXEPA Omega-3 Polyunsaturated Fatty Acid Cod Liver Oil Salmon Oil Result: 206 Concepts Rank order on relations Fish oil related concepts:

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AC Closed Discovery Eicosapentaenoic Acid Fish Oil Fatty Acids, Omega 3 MAXEPA Omega-3 Polyunsaturated Fatty Acid Cod Liver Oil Salmon Oil Raynaud’s Disease

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AC Closed Discovery 1,246 citations 1,278 concepts 479 common concepts 463 citations 1,795 concepts

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AC Closed Discovery Functional / Physiological Filter 45 B-concepts

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications AC Closed Discovery B Known concepts: Plasma viscosity level Blood Viscosity Platelet Adhesiveness Platelet Aggregation Effects, Blood Coagulation New concepts: Vasodilatation Veins, Capillaries Dinoprostone Fibrinolysis Deformability Rheology

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Juxtaposition

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Success / Failure +Simulation of Raynaud’s disease – fish oil and migraine – magnesium +Discovery of new therapeutic applications for thalidomide -Mapping (Mg = milligram / magnesium) -Association defined by co-occurrence

Social Pharmacy and Pharmacoepidemiology Lister Hill National Center for Biomedical Communications Future Better semantic analysis: increase(A,B) and decrease(B,C) Better user interface More databases e.g. finding genetic bases for diseases