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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| ISSN: | 1179-1942 |
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| DOI: | 10.1007/s40264-018-0762-z |
