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Citing this Article

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Published on 03.05.17 in Vol 3, No 2 (2017): Apr-Jun

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

Works citing "TwiMed: Twitter and PubMed Comparable Corpus of Drugs, Diseases, Symptoms, and Their Relations"

According to Crossref, the following articles are citing this article (DOI 10.2196/publichealth.6396):

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

  1. Dreisbach C, Koleck TA, Bourne PE, Bakken S. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data. International Journal of Medical Informatics 2019;125:37
  2. Pappa D, Stergioulas LK. Harnessing social media data for pharmacovigilance: a review of current state of the art, challenges and future directions. International Journal of Data Science and Analytics 2019;8(2):113
  3. Zhang T, Lin H, Ren Y, Yang L, Xu B, Yang Z, Wang J, Zhang Y. Adverse drug reaction detection via a multihop self-attention mechanism. BMC Bioinformatics 2019;20(1)
  4. Guetterman TC, Chang T, DeJonckheere M, Basu T, Scruggs E, Vydiswaran VV. Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study. Journal of Medical Internet Research 2018;20(6):e231
  5. Zhang P, Wu H, Chiang C, Wang L, Binkheder S, Wang X, Zeng D, Quinney SK, Li L. Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research. CPT: Pharmacometrics & Systems Pharmacology 2018;7(2):90
  6. Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Collaborative relation annotation and quality analysis in Markyt environment. Database 2017;2017

According to Crossref, the following books are citing this article (DOI 10.2196/publichealth.6396)

  1. Gupta S, Gupta M, Varma V, Pawar S, Ramrakhiyani N, Palshikar GK. Advances in Information Retrieval. 2018. Chapter 44:556
  2. Alimova I, Solovyev V. Artificial Intelligence and Natural Language. 2018. Chapter 18:185