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

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

Books/Policy Documents

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