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

Machine Learning (1501) Infodemiology and Infoveillance (1369) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (159) Big Data (245) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050)

Published on in Vol 5, No 4 (2017): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9170, first published .
Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure

Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure

Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure

Authors of this article:

Ahmad P Tafti1 Author Orcid Image ;   Jonathan Badger1 Author Orcid Image ;   Eric LaRose1 Author Orcid Image ;   Ehsan Shirzadi2 Author Orcid Image ;   Andrea Mahnke1 Author Orcid Image ;   John Mayer1 Author Orcid Image ;   Zhan Ye1 Author Orcid Image ;   David Page3 Author Orcid Image ;   Peggy Peissig1 Author Orcid Image
Article Authors Cited by (38) Tweetations (4) Metrics

Journals

  1. Luque C, Luna J, Luque M, Ventura S. An advanced review on text mining in medicine. WIREs Data Mining and Knowledge Discovery 2019;9(3) View
  2. Routray R, Tetarenko N, Abu-Assal C, Mockute R, Assuncao B, Chen H, Bao S, Danysz K, Desai S, Cicirello S, Willis V, Alford S, Krishnamurthy V, Mingle E. Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination. Drug Safety 2020;43(1):57 View
  3. Garcia-Rudolph A, Saurí J, Cegarra B, Bernabeu Guitart M. Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit. JMIR Medical Informatics 2020;8(11):e17903 View
  4. Masters K. Artificial intelligence in medical education. Medical Teacher 2019;41(9):976 View
  5. Convertino I, Ferraro S, Blandizzi C, Tuccori M. The usefulness of listening social media for pharmacovigilance purposes: a systematic review. Expert Opinion on Drug Safety 2018;17(11):1081 View
  6. Zhou S, Kang H, Yao B, Gong Y. An automated pipeline for analyzing medication event reports in clinical settings. BMC Medical Informatics and Decision Making 2018;18(S5) View
  7. Ramponi A, Giampiccolo S, Tomasoni D, Priami C, Lombardo R. High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications. IEEE Access 2020;8:150999 View
  8. Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835 View
  9. Mallappallil M, Sabu J, Gruessner A, Salifu M. A review of big data and medical research. SAGE Open Medicine 2020;8 View
  10. Pesaranghader A, Matwin S, Sokolova M, Pesaranghader A. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. Journal of the American Medical Informatics Association 2019;26(5):438 View
  11. Spiro A, Fernández García J, Yanover C. Inferring new relations between medical entities using literature curated term co-occurrences. JAMIA Open 2019;2(3):378 View
  12. Ujiie S, Yada S, Wakamiya S, Aramaki E. Identification of Adverse Drug Event–Related Japanese Articles: Natural Language Processing Analysis. JMIR Medical Informatics 2020;8(11):e22661 View
  13. Zhu D, Ahmed S. [Retracted] Advertising Click‐Through Rate Prediction Based on CNN‐LSTM Neural Network. Computational Intelligence and Neuroscience 2021;2021(1) View
  14. Wang J, Ahmed S. [Retracted] Analysis of Sports Performance Prediction Model Based on GA‐BP Neural Network Algorithm. Computational Intelligence and Neuroscience 2021;2021(1) View
  15. Xu X, Liu F, Ahmed S. [Retracted] Optimization of Online Education and Teaching Evaluation System Based on GA‐BP Neural Network. Computational Intelligence and Neuroscience 2021;2021(1) View
  16. Chen S, Han X, Shen Y, Ye C, Ahmed S. [Retracted] Application of Improved LSTM Algorithm in Macroeconomic Forecasting. Computational Intelligence and Neuroscience 2021;2021(1) View
  17. Song F, Ahmed S. [Retracted] 3D Virtual Reality Implementation of Tourist Attractions Based on the Deep Belief Neural Network. Computational Intelligence and Neuroscience 2021;2021(1) View
  18. Lattouf O. Impact of digital transformation on the future of medical education and practice. Journal of Cardiac Surgery 2022;37(9):2799 View
  19. Guo W, Ahmed S. [Retracted] Safety Risk Assessment of Tourism Management System Based on PSO‐BP Neural Network. Computational Intelligence and Neuroscience 2021;2021(1) View
  20. Li C, Ahmed S. [Retracted] Construction of the Reverse Resource Recovery System of e‐Waste Based on DLRNN. Computational Intelligence and Neuroscience 2021;2021(1) View
  21. Chen X, Ahmed S. [Retracted] Compensated Fuzzy Neural Network‐Based Music Teaching Ability Assessment Model. Computational Intelligence and Neuroscience 2021;2021(1) View
  22. Zhang Y, Zhang Y, Ahmed S. [Retracted] Sports Training System Based on Convolutional Neural Networks and Data Mining. Computational Intelligence and Neuroscience 2021;2021(1) View
  23. Knisely B, Hatim Q, Vaughn-Cooke M. Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets. Pharmaceutical Medicine 2022;36(5):307 View
  24. Bu M, Ahmed S. [Retracted] Performance Evaluation of Enterprise Supply Chain Management Based on the Discrete Hopfield Neural Network. Computational Intelligence and Neuroscience 2021;2021(1) View
  25. Chen J, Zhao C, Liu K, Liang J, Wu H, Xu S, Ahmed S. [Retracted] Exchange Rate Forecasting Based on Deep Learning and NSGA‐II Models. Computational Intelligence and Neuroscience 2021;2021(1) View
  26. Chen X, Ahmed S. [Retracted] Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network. Computational Intelligence and Neuroscience 2021;2021(1) View
  27. Unnikrishnan R, S. S, V.S. A. Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data. Engineering Applications of Artificial Intelligence 2023;123:106214 View
  28. Santos Á, da Silva E, Couto L, Reis G, Belo V. The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review. Journal of Biomedical Informatics 2023;142:104389 View
  29. Schmidt L, Mohamed S, Meader N, Bacardit J, Craig D. Automated data analysis of unstructured grey literature in health research: A mapping review. Research Synthesis Methods 2024;15(2):178 View
  30. Modi S, Kasmiran K, Mohd Sharef N, Sharum M. Extracting adverse drug events from clinical Notes: A systematic review of approaches used. Journal of Biomedical Informatics 2024;151:104603 View

Books/Policy Documents

  1. Liu P, Zheng X, Wong M, Leung K. Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. View
  2. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View
  3. Chai Z, Wan X. Advances in Knowledge Discovery and Data Mining. View
  4. Kazancigil M. Big Data Analytics for Healthcare. View