Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0).
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| 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). |
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| 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 |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 30649735 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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