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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. Correia RB, Wood IB, Bollen J, Rocha LM. Mining Social Media Data for Biomedical Signals and Health-Related Behavior. Annual Review of Biomedical Data Science 2020;3(1):433
    CrossRef
  2. Li Z, Yang Z, Luo L, Xiang Y, Lin H. Exploiting adversarial transfer learning for adverse drug reaction detection from texts. Journal of Biomedical Informatics 2020;106:103431
    CrossRef
  3. Dietrich J, Gattepaille LM, Grum BA, Jiri L, Lerch M, Sartori D, Wisniewski A. Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR. Drug Safety 2020;43(5):467
    CrossRef
  4. Lou J, Zhang Y. Semantic change analysis of Korean verbs based on massive culture corpus data. Personal and Ubiquitous Computing 2020;24(1):115
    CrossRef
  5. Gattepaille LM, Hedfors Vidlin S, Bergvall T, Pierce CE, Ellenius J. Prospective Evaluation of Adverse Event Recognition Systems in Twitter: Results from the Web-RADR Project. Drug Safety 2020;43(8):797
    CrossRef
  6. 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
    CrossRef
  7. 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)
    CrossRef
  8. 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
    CrossRef
  9. Alimova IS, Tutubalina EV. Entity-Level Classification of Adverse Drug Reaction: A Comparative Analysis of Neural Network Models. Programming and Computer Software 2019;45(8):439
    CrossRef
  10. 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
    CrossRef
  11. 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
    CrossRef
  12. Pérez-Pérez M, Pérez-Rodríguez G, Fdez-Riverola F, Lourenço A. Collaborative relation annotation and quality analysis in Markyt environment. Database 2017;2017
    CrossRef

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

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  1. Arguello-Casteleiro M, Jones PH, Robertson S, Irvine RM, Twomey F, Nenadic G. Artificial Intelligence XXXVI. 2019. Chapter 17:213
    CrossRef
  2. Alimova I, Solovyev V. Artificial Intelligence and Natural Language. 2018. Chapter 18:185
    CrossRef
  3. Gupta S, Gupta M, Varma V, Pawar S, Ramrakhiyani N, Palshikar GK. Advances in Information Retrieval. 2018. Chapter 44:556
    CrossRef
  4. Gupta S, Gupta M, Varma V, Pawar S, Ramrakhiyani N, Palshikar GK. Advances in Information Retrieval. 2018. Chapter 5:59
    CrossRef