Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Journals

  1. Taylor J, Pagliari C. Mining social media data: How are research sponsors and researchers addressing the ethical challenges?. Research Ethics 2018;14(2):1 View
  2. Adamusiak T, Shimoyama N, Shimoyama M. Next Generation Phenotyping Using the Unified Medical Language System. JMIR Medical Informatics 2014;2(1):e5 View
  3. Chen A, Carriere R, Kaplan S. The User Knows What to Call It: Incorporating Patient Voice Through User-Contributed Tags on a Participatory Platform About Health Management. Journal of Medical Internet Research 2017;19(9):e292 View
  4. Moorhead S, Hazlett D, Harrison L, Carroll J, Irwin A, Hoving C. A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication. Journal of Medical Internet Research 2013;15(4):e85 View
  5. Park M, He Z, Chen Z, Oh S, Bian J. Consumers’ Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites. JMIR Medical Informatics 2016;4(4):e41 View
  6. Chen J, Jagannatha A, Fodeh S, Yu H. Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach. JMIR Medical Informatics 2017;5(4):e42 View
  7. Wu D, Xin C, Bindhu S, Xu C, Sachdeva J, Brown J, Jung H. Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study. JMIR Formative Research 2020;4(8):e18123 View
  8. Lin Y, He Y. The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events. Journal of Biomedical Semantics 2014;5(1):19 View
  9. Scotch M, Baarson B, Beard R, Lauder R, Varman A, Halden R. Examining the Differences in Format and Characteristics of Zoonotic Virus Surveillance Data on State Agency Websites. Journal of Medical Internet Research 2013;15(4):e90 View
  10. Gu G, Zhang X, Zhu X, Jian Z, Chen K, Wen D, Gao L, Zhang S, Wang F, Ma H, Lei J. Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach. JMIR Medical Informatics 2019;7(2):e12704 View
  11. MacLean D, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. Journal of the American Medical Informatics Association 2013;20(6):1120 View
  12. Chen C, Huang E, Yan H. Detecting the association of health problems in consumer-level medical text. Journal of Information Science 2018;44(1):3 View
  13. He Z, Chen Z, Oh S, Hou J, Bian J. Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach. Journal of Biomedical Informatics 2017;69:75 View
  14. Ping X, Chung Y, Tseng Y, Liang J, Yang P, Huang G, Lai F. A Web-Based Data-Querying Tool Based on Ontology-Driven Methodology and Flowchart-Based Model. JMIR Medical Informatics 2013;1(1):e2 View
  15. Wicks P, Sulham K, Gnanasakthy A. Quality of Life in Organ Transplant Recipients Participating in an Online Transplant Community. The Patient - Patient-Centered Outcomes Research 2014;7(1):73 View
  16. Hoang T, Liu J, Pratt N, Zheng V, Chang K, Roughead E, Li J. Authenticity and credibility aware detection of adverse drug events from social media. International Journal of Medical Informatics 2018;120:101 View
  17. Lu Y, Wu Y, Liu J, Li J, Zhang P. Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community. Journal of Medical Internet Research 2017;19(4):e109 View
  18. Konstantinidis S, Fernandez-Luque L, Bamidis P, Karlsen R. The Role of Taxonomies in Social Media and the Semantic Web for Health Education. Methods of Information in Medicine 2013;52(02):168 View
  19. Kaplan S, Chen A, Carriere R. De‐constructing the co‐construction: Researcher stance, the nature of data and community building in an online participatory platform to create a knowledge repository. Proceedings of the Association for Information Science and Technology 2017;54(1):203 View
  20. Robillard J, Whiteley L, Johnson T, Lim J, Wasserman W, Illes J. Utilizing Social Media to Study Information-Seeking and Ethical Issues in Gene Therapy. Journal of Medical Internet Research 2013;15(3):e44 View
  21. Hartzler A, Taylor M, Park A, Griffiths T, Backonja U, McDonald D, Wahbeh S, Brown C, Pratt W. Leveraging cues from person-generated health data for peer matching in online communities. Journal of the American Medical Informatics Association 2016;23(3):496 View
  22. Bäumer F, Dollmann M, Geierhos M. Find a Physician by Matching Medical Needs Described in your Own Words. Procedia Computer Science 2015;63:417 View
  23. Hoang T, Liu J, Pratt N, Zheng V, Chang K, Roughead E, Li J. Authenticity and credibility aware detection of adverse drug events from social media. International Journal of Medical Informatics 2018;120:157 View
  24. Dreisbach C, Koleck T, Bourne P, 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 View
  25. Tapi Nzali M, Aze J, Bringay S, Lavergne C, Mollevi C, Optiz T. Reconciliation of patient/doctor vocabulary in a structured resource. Health Informatics Journal 2019;25(4):1219 View
  26. Pierce C, Bouri K, Pamer C, Proestel S, Rodriguez H, Van Le H, Freifeld C, Brownstein J, Walderhaug M, Edwards I, Dasgupta N. Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts. Drug Safety 2017;40(4):317 View
  27. Sokolova M, El Emam K, Arbuckle L, Neri E, Rose S, Jonker E. P2P Watch: Personal Health Information Detection in Peer-to-Peer File-Sharing Networks. Journal of Medical Internet Research 2012;14(4):e95 View
  28. Chen A, Carriere R, Kaplan S, Colht K, Morey O, Flaherty M, Moser G, Slager S, Price C. Exploring collective tagging as a mechanism to elicit language about health management. Proceedings of the Association for Information Science and Technology 2016;53(1):1 View
  29. de Lusignan S, Liyanage H, McGagh D, Jani B, Bauwens J, Byford R, Evans D, Fahey T, Greenhalgh T, Jones N, Mair F, Okusi C, Parimalanathan V, Pell J, Sherlock J, Tamburis O, Tripathy M, Ferreira F, Williams J, Hobbs F. COVID-19 Surveillance in a Primary Care Sentinel Network: In-Pandemic Development of an Application Ontology. JMIR Public Health and Surveillance 2020;6(4):e21434 View
  30. Alasmari A, Zhou L. Share to Seek: The Effects of Disease Complexity on Health Information–Seeking Behavior. Journal of Medical Internet Research 2021;23(3):e21642 View
  31. Monselise M, Greenberg J, Liang O, Pascua S, Kim H, Kelly M, Boone J, Yang C. An Automatic Approach to Extending the Consumer Health Vocabulary. Journal of Data and Information Science 2021;6(1):35 View
  32. Ibrahim M, Gauch S, Salman O, Alqahtani M. An automated method to enrich consumer health vocabularies using GloVe word embeddings and an auxiliary lexical resource. PeerJ Computer Science 2021;7:e668 View
  33. Ondov B, Attal K, Demner-Fushman D. A survey of automated methods for biomedical text simplification. Journal of the American Medical Informatics Association 2022;29(11):1976 View
  34. Tong C, Margolin D, Chunara R, Niederdeppe J, Taylor T, Dunbar N, King A. Search Term Identification Methods for Computational Health Communication: Word Embedding and Network Approach for Health Content on YouTube. JMIR Medical Informatics 2022;10(8):e37862 View
  35. Roche V, Robert J, Salam H. A holistic AI-based approach for pharmacovigilance optimization from patients behavior on social media. Artificial Intelligence in Medicine 2023;144:102638 View
  36. Tenorio J, de Moraes F, Pisa I. CHV.br: Exploratory study for the development of a consumer health vocabulary (CHV) supported by a network model for Brazilian Portuguese language. Journal of Information Science 2023 View
  37. Lalor J, Levy D, Jordan H, Hu W, Smirnova J, Yu H. Evaluating Expert-Layperson Agreement in Identifying Jargon Terms in Electronic Health Record Notes: Observational Study. Journal of Medical Internet Research 2024;26:e49704 View

Books/Policy Documents

  1. Jiang L, Yang C. Social Computing, Behavioral-Cultural Modeling, and Prediction. View
  2. He Z. Social Web and Health Research. View
  3. Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. View
  4. Myneni S, Fujimoto K, Cohen T. Cognitive Informatics in Health and Biomedicine. View
  5. . Relevance Ranking for Vertical Search Engines. View
  6. Santini M, Jönsson A, Strandqvist W, Cederblad G, Nyström M, Alirezaie M, Lind L, Blomqvist E, Lindén M, Kristoffersson A. Cyber-Physical Systems for Social Applications. View
  7. Ozbolt J, Bakken S, Dykes P. Biomedical Informatics. View
  8. Bakken S, Dykes P, Rossetti S, Ozbolt J. Biomedical Informatics. View