Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).

Saved in:
Bibliographic Details
Title: Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).
Authors: Jagannatha A; College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA., Liu F; Department of Quantitative Health Sciences and Radiology, University of Massachusetts Medical School, Worcester, MA, USA., Liu W; Department of Computer Science, University of Massachusetts, 220 Pawtucket St., Lowell, MA, 01854-2874, USA.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA., Yu H; College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA. hong.yu@umassmed.edu.; Department of Computer Science, University of Massachusetts, 220 Pawtucket St., Lowell, MA, 01854-2874, USA. hong.yu@umassmed.edu.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA. hong.yu@umassmed.edu.; Bedford VAMC, Bedford, MA, USA. hong.yu@umassmed.edu.
Source: Drug safety [Drug Saf] 2019 Jan; Vol. 42 (1), pp. 99-111.
Publication Type: Journal Article; Research Support, N.I.H., Extramural; Review
Journal Info: Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 9002928 Publication Model: Print Cited Medium: Internet ISSN: 1179-1942 (Electronic) Linking ISSN: 01145916 NLM ISO Abbreviation: Drug Saf Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 30649735
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jagannatha+A%22">Jagannatha A</searchLink>; College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+F%22">Liu F</searchLink>; Department of Quantitative Health Sciences and Radiology, University of Massachusetts Medical School, Worcester, MA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+W%22">Liu W</searchLink>; Department of Computer Science, University of Massachusetts, 220 Pawtucket St., Lowell, MA, 01854-2874, USA.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.<br /><searchLink fieldCode="AU" term="%22Yu+H%22">Yu H</searchLink>; College of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA. hong.yu@umassmed.edu.; Department of Computer Science, University of Massachusetts, 220 Pawtucket St., Lowell, MA, 01854-2874, USA. hong.yu@umassmed.edu.; Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA. hong.yu@umassmed.edu.; Bedford VAMC, Bedford, MA, USA. hong.yu@umassmed.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229002928%22">Drug safety</searchLink> [Drug Saf] 2019 Jan; Vol. 42 (1), pp. 99-111.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, N.I.H., Extramural; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Adis%2C+Springer+International%22">Adis, Springer International </searchLink><i>Country of Publication: </i>New Zealand <i>NLM ID: </i>9002928 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1179-1942 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201145916%22">01145916 </searchLink><i>NLM ISO Abbreviation: </i>Drug Saf <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=30649735
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s40264-018-0762-z
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 99
    Titles:
      – TitleFull: Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jagannatha A
      – PersonEntity:
          Name:
            NameFull: Liu F
      – PersonEntity:
          Name:
            NameFull: Liu W
      – PersonEntity:
          Name:
            NameFull: Yu H
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2019 Jan
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-electronic
              Value: 1179-1942
          Numbering:
            – Type: volume
              Value: 42
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Drug safety
              Type: main
ResultId 1