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Citing this Article

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Published on 25.04.18 in Vol 4, No 2 (2018): Apr-Jun

This paper is in the following e-collection/theme issue:

Works citing "Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.9361):

(note that this is only a small subset of citations)

  1. Dandala B, Joopudi V, Devarakonda M. Adverse Drug Events Detection in Clinical Notes by Jointly Modeling Entities and Relations Using Neural Networks. Drug Safety 2019;42(1):135
  2. Li F, Yu H. An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models. Journal of the American Medical Informatics Association 2019;
  3. Chen J, Lalor J, Liu W, Druhl E, Granillo E, Vimalananda VG, Yu H. Detecting Hypoglycemia Incidents Reported in Patients’ Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. Journal of Medical Internet Research 2019;21(3):e11990
  4. Young JC, Conover MM, Jonsson Funk M. Measurement Error and Misclassification in Electronic Medical Records: Methods to Mitigate Bias. Current Epidemiology Reports 2018;5(4):343
  5. Li F, Liu W, Yu H. Extraction of Information Related to Adverse Drug Events from Electronic Health Record Notes: Design of an End-to-End Model Based on Deep Learning. JMIR Medical Informatics 2018;6(4):e12159

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.9361)

  1. Liu F, Weng C, Yu H. . 2019. Chapter 17:357