Volume 42, Issue 1 | Drug Safety

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Volume 42, Issue 1

Drug Safety

The Official Journal of the International Society of Pharmacovigilance [ISoP]

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Volume 42, Issue 1

January 2019

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0) Pages(95-156)

Issue Editors:

Feifan Liu,
Abhyuday Jagannatha,
Hong Yu

15 articles in this issue

Aim and Design of pREGnant, the Dutch Pregnancy Drug Register
Saskia Vorstenbosch
Bernke te Winkel
Eugène van Puijenbroek
Special Article Open access 24 September 2018 Pages: 1 - 12
The Prevalence of Dose Errors Among Paediatric Patients in Hospital Wards with and without Health Information Technology: A Systematic Review and Meta-Analysis
Peter J. Gates
Sophie A. Meyerson
Johanna I. Westbrook
Systematic Review 16 August 2018 Pages: 13 - 25
The Social Impact of Suspected Adverse Drug Reactions: An analysis of the Canada Vigilance Spontaneous Reporting Database
Genaro Castillon
Francesco Salvo
Yola Moride
Original Research Article 19 August 2018 Pages: 27 - 34
Surveillance of Drug Safety During Pregnancy: Insight in Current International Activities, Future Intentions and Need for Support of National Pharmacovigilance Centres
Agnes Kant
Loes de Vries
Leàn Rolfes
Original Research Article 03 October 2018 Pages: 35 - 43
POMME: The New Cohort to Evaluate Long-Term Effects After Prenatal Medicine Exposure
Justine Benevent
Caroline Hurault-Delarue
Christine Damase-Michel
Original Research Article 19 August 2018 Pages: 45 - 54
Stevens–Johnson Syndrome and Toxic Epidermal Necrolysis in Association with Commonly Prescribed Drugs in Outpatient Care Other than Anti-Epileptic Drugs and Antibiotics: A Population-Based Case–Control Study
Noel Frey
Michael Bodmer
Julia Spoendlin
Original Research Article 16 August 2018 Pages: 55 - 66
Nonsteroidal Anti-Inflammatory Drugs and Risk of First Hospitalization for Heart Failure in Patients with No History of Heart Failure: A Population-Based Case-Crossover Study
Sung-Po Huang
Yao-Chun Wen
Fei-Yuan Hsiao
Original Research Article 19 September 2018 Pages: 67 - 75
Assessment of Self-Administration of Romiplostim in Patients with Immune Thrombocytopenic Purpura after Receipt of Home Administration Training Materials: a Cross-Sectional Study
Martin Schipperus
Georgia Kaiafa
Anouchka Seesaghur
Original Research Article Open access 19 September 2018 Pages: 77 - 83
Effect of Lawyer-Submitted Reports on Signals of Disproportional Reporting in the Food and Drug Administration’s Adverse Event Reporting System
James R. Rogers
Ameet Sarpatwari
John G. Connolly
Short Communication 01 August 2018 Pages: 85 - 93
Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records
Feifan Liu
Abhyuday Jagannatha
Hong Yu
Editorial 16 January 2019 Pages: 95 - 97
Part of 1 collection:

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0)
Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0)
Abhyuday Jagannatha
Feifan Liu
Hong Yu
Original Research Article 16 January 2019 Pages: 99 - 111
Part of 1 collection:

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0)
Adverse Drug Event Detection from Electronic Health Records Using Hierarchical Recurrent Neural Networks with Dual-Level Embedding
Susmitha Wunnava
Xiao Qin
Xiangnan Kong
Original Research Article 16 January 2019 Pages: 113 - 122
Part of 1 collection:

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0)
MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes
Xi Yang
Jiang Bian
Yonghui Wu
Original Research Article 02 January 2019 Pages: 123 - 133
Part of 1 collection:

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0)
Adverse Drug Events Detection in Clinical Notes by Jointly Modeling Entities and Relations Using Neural Networks
Bharath Dandala
Venkata Joopudi
Murthy Devarakonda
Original Research Article 16 January 2019 Pages: 135 - 146
Part of 1 collection:

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0)
Detecting Adverse Drug Events with Rapidly Trained Classification Models
Alec B. Chapman
Kelly S. Peterson
Olga V. Patterson
Original Research Article Open access 16 January 2019 Pages: 147 - 156
Part of 1 collection:

NLP Challenge for Detecting Medication and Adverse Drug Events from Electronic Health Records (MADE 1.0)