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

Methods and Feasibility Studies (450) Drug Repurposing and Off-Label Use (28) Infodemiology and Infoveillance (1558) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Pharmacovigilance (171)

Published on in Vol 5, No 2 (2016): Apr-Jun

Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study

Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study

Using Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study

Authors of this article:

Majid Rastegar-Mojarad1, 2 Author Orcid Image ;   Hongfang Liu1 Author Orcid Image ;   Priya Nambisan2 Author Orcid Image
Article Authors Cited by (23) Tweetations (6) Metrics

Journals

  1. Ozsoy M, Özyer T, Polat F, Alhajj R. Realizing drug repositioning by adapting a recommendation system to handle the process. BMC Bioinformatics 2018;19(1) View
  2. Bollegala D, Maskell S, Sloane R, Hajne J, Pirmohamed M. Causality Patterns for Detecting Adverse Drug Reactions From Social Media: Text Mining Approach. JMIR Public Health and Surveillance 2018;4(2):e51 View
  3. Tutubalina E, Nikolenko S. Combination of Deep Recurrent Neural Networks and Conditional Random Fields for Extracting Adverse Drug Reactions from User Reviews. Journal of Healthcare Engineering 2017;2017:1 View
  4. Alruwaili W, Protano B, Sirigiriraju T, Alhoori H. Using Arabic Tweets to Understand Drug Selling Behaviors. Procedia Computer Science 2019;164:559 View
  5. Pulley J, Rhoads J, Jerome R, Challa A, Erreger K, Joly M, Lavieri R, Perry K, Zaleski N, Shirey-Rice J, Aronoff D. Using What We Already Have: Uncovering New Drug Repurposing Strategies in Existing Omics Data. Annual Review of Pharmacology and Toxicology 2020;60(1):333 View
  6. Khosravi A, Kouhsar M, Goliaei B, Jayaram B, Masoudi-Nejad A. Systematic analysis of genes and diseases using PheWAS-Associated networks. Computers in Biology and Medicine 2019;109:311 View
  7. Yildirim P, Kaya A. Clustering of Phentermine HCL Drug from Online Patient Medication Reviews. Procedia Computer Science 2019;151:1146 View
  8. Naderi M, Lemoine J, Govindaraj R, Kana O, Feinstein W, Brylinski M. Binding site matching in rational drug design: algorithms and applications. Briefings in Bioinformatics 2019;20(6):2167 View
  9. Kruse R, Vanijcharoenkarn K. Drug repurposing to treat asthma and allergic disorders: Progress and prospects. Allergy 2018;73(2):313 View
  10. Olgen S, Kotra L. Drug Repurposing in the Development of Anticancer Agents. Current Medicinal Chemistry 2019;26(28):5410 View
  11. Alarifi M, Patrick T, Jabour A, Wu M, Luo J. Understanding patient needs and gaps in radiology reports through online discussion forum analysis. Insights into Imaging 2021;12(1) View
  12. Schmidt A, Rodriguez-Esteban R, Gottowik J, Leddin M. Applications of quantitative social media listening to patient-centric drug development. Drug Discovery Today 2022;27(5):1523 View
  13. Goenka L, Dubashi B, Selvarajan S, Ganesan P. Use of “Repurposed” Drugs in the Treatment of Epithelial Ovarian Cancer. American Journal of Clinical Oncology 2022;45(4):168 View
  14. Nishiyama T, Yada S, Wakamiya S, Hori S, Aramaki E. Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e44870 View
  15. Lee W, Lee S, Kim J, Lee S. A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services. Journal of Health Informatics and Statistics 2023;48(2):102 View
  16. 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
  17. Spies E, Andreu T, Hartung M, Park J, Kamudoni P. Exploring the Perspectives of Patients Living With Lupus: Retrospective Social Listening Study. JMIR Formative Research 2024;8:e52768 View
  18. Ivsins A, Bowles J, Mansoor M, Kerr T, Bardwell G. Repurposing prescribed hydromorphone: Alternative uses of safer supply and tablet-injectable opioid agonist treatment to meet unaddressed health needs. International Journal of Drug Policy 2024;133:104601 View
  19. Zhang Y, Wang T, Wang Y, Cao J. Knowledge discovery of diseases symptoms and rehabilitation measures in Q&A communities. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Poroikov V, Druzhilovskiy D. In Silico Drug Design. View
  2. Tutubalina E, Nikolenko S. Mining Intelligence and Knowledge Exploration. View

Conference Proceedings

  1. Rastegar-Mojarad M, Elayavilli R, Wang L, Prasad R, Liu H. Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics. Prioritizing Adverse Drug Reaction and Drug Repositioning Candidates Generated by Literature-Based Discovery View
  2. Suhana S, Kumar S. INTERNATIONAL CONFERENCE ON SCIENCE, ENGINEERING, AND TECHNOLOGY 2022: Conference Proceedings. An improved approaches for novel mining serendipitous drug to generate and validate drug repositioning hypotheses from social media comparing with Adaboost algorithm View