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Citing this Article

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Published on 14.03.07 in Vol 9, No 1 (2007)

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

Works citing "Term Identification Methods for Consumer Health Vocabulary Development"

Qing Zeng, Tony Tse, Guy Divita, Alla Keselman, Jonathan Crowell, Allen Browne, Sergey Goryachev, Long Ngo

J Med Internet Res 2007 (Mar 14); 9(1):e4 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9.1.e4):

(note that this is only a small subset of citations)

  1. . The Role of the National Library of Medicine in Advancing the Science of Health Disparities. Medical Care 2019;57(Suppl 2):S104
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  2. Doing-Harris K, Livnat Y, Meystre S. Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system. Journal of Biomedical Semantics 2015;6(1)
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  3. White RW, Horvitz E. Cyberchondria. ACM Transactions on Information Systems 2009;27(4):1
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  4. Pierce CE, Bouri K, Pamer C, Proestel S, Rodriguez HW, Van Le H, Freifeld CC, Brownstein JS, Walderhaug M, Edwards IR, 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
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  5. Wu DTY, Xin C, Bindhu S, Xu C, Sachdeva J, Brown JL, 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
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  6. He D, Wang Z, Thaker K, Zou N. Translation and Expansion: Enabling Laypeople Access to the COVID-19 Academic Collection. Data and Information Management 2020;4(3):177
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  7. Zhang J, Wolfram D, Wang P, Hong Y, Gillis R. Visualization of health‐subject analysis based on query term co‐occurrences. Journal of the American Society for Information Science and Technology 2008;59(12):1933
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  8. Inthiran A, Alhashmi SM, Ahmed PK. Medical Information Retrieval Strategies. International Journal of Healthcare Information Systems and Informatics 2012;7(1):31
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  9. Li F, Jin Y, Liu W, Rawat BPS, Cai P, Yu H. Fine-Tuning Bidirectional Encoder Representations From Transformers (BERT)–Based Models on Large-Scale Electronic Health Record Notes: An Empirical Study. JMIR Medical Informatics 2019;7(3):e14830
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  10. Sanchez Bocanegra CL, Sevillano Ramos JL, Rizo C, Civit A, Fernandez-Luque L. HealthRecSys: A semantic content-based recommender system to complement health videos. BMC Medical Informatics and Decision Making 2017;17(1)
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  11. Tapi Nzali MD, 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
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  12. Chen J, Jagannatha AN, Fodeh SJ, 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
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  13. Mozer R, Miratrix L, Kaufman AR, Jason Anastasopoulos L. Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality. Political Analysis 2020;28(4):445
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  14. Zheng J, Yu H. Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study. Journal of Medical Internet Research 2017;19(3):e59
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  15. Doing-Harris KM, Zeng-Treitler Q. Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data. Journal of Medical Internet Research 2011;13(2):e37
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  16. Hou L, Kang H, Liu Y, Li L, Li J. Mining and standardizing chinese consumer health terms. BMC Medical Informatics and Decision Making 2018;18(S5)
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  17. Keselman A, Smith CA, Divita G, Kim H, Browne AC, Leroy G, Zeng-Treitler Q. Consumer Health Concepts That Do Not Map to the UMLS: Where Do They Fit?. Journal of the American Medical Informatics Association 2008;15(4):496
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  18. Qenam B, Kim TY, Carroll MJ, Hogarth M. Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation. Journal of Medical Internet Research 2017;19(12):e417
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  19. Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. Journal of Medical Internet Research 2011;13(1):e15
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  20. Kim MS, Jeong IS. Extraction of Hypertension-related Consumer Vocabulary and Mediator Vocabulary and Selection of Recommended Vocabulary. Korean Journal of Health Education and Promotion 2014;31(5):13
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  21. Lavertu A, Altman RB. RedMed: Extending drug lexicons for social media applications. Journal of Biomedical Informatics 2019;99:103307
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  22. MacLean DL, Heer J. Identifying medical terms in patient-authored text: a crowdsourcing-based approach. Journal of the American Medical Informatics Association 2013;20(6):1120
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  23. Haga SB, Mills R, Pollak KI, Rehder C, Buchanan AH, Lipkus IM, Crow JH, Datto M. Developing patient-friendly genetic and genomic test reports: formats to promote patient engagement and understanding. Genome Medicine 2014;6(7)
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  24. Nishimoto N, Yokooka Y, Yagahara A, Uesugi M, Ogasawara K. Quantitative evaluation of expression difference in report assignments between nursing and radiologic technology departments. Radiological Physics and Technology 2011;4(1):29
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  25. 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
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  26. 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
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  27. . Overcoming the linguistic divide: a barrier to consumer health information. Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 2014;30(3):75
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  28. 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
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  29. Zraick RI, Azios M, Handley MM, Bellon-Harn ML, Manchaiah V. Quality and readability of internet information about stuttering. Journal of Fluency Disorders 2021;67:105824
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  30. Monselise M, Greenberg J, Liang OS, Pascua S, Kim H, Kelly M, Boone JP, Yang CC. An Automatic Approach to Extending the Consumer Health Vocabulary. Journal of Data and Information Science 2021;6(1):35
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  31. He X, Zhang R, Alpert J, Zhou S, Adam TJ, Raisa A, Peng Y, Zhang H, Guo Y, Bian J. When text simplification is not enough: could a graph-based visualization facilitate consumers’ comprehension of dietary supplement information?. JAMIA Open 2021;4(1)
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  32. van Mens HJ, Martens SS, Paiman EH, Mertens AC, Nienhuis R, de Keizer NF, Cornet R. Diagnosis clarification by generalization to patient-friendly terms and definitions: Validation study. Journal of Biomedical Informatics 2022;129:104071
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  33. Steiner SM, Slavych BK, Zraick RI. Assessment of Online Patient Education Material About Dysphagia. Dysphagia 2023;38(3):990
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  34. Ouyang W, Xie W, Xin Z, He H, Wen T, Peng X, Dai P, Yuan Y, Liu F, Chen Y, Luo A. Evolutionary Overview of Consumer Health Informatics: Bibliometric Study on the Web of Science from 1999 to 2019. Journal of Medical Internet Research 2021;23(9):e21974
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  35. Stavropoulou-Tatla S, Awal DH, Fardanesh A, McCaig F, Hossain MA. Evaluating the Quality and Readability of Online Resources on Unspecified Kidney Donation. Transplantation Proceedings 2022;54(3):582
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  36. Tenorio JM, de Moraes FL, Pisa IT. 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;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.9.1.e4):

  1. Inthiran A, Alhashmi SM, Ahmed PK. Business Intelligence. 2016. chapter 65:1314
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  2. Jiang L, Yang CC. Social Computing, Behavioral-Cultural Modeling, and Prediction. 2015. Chapter 36:314
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  3. Song S, Choi Y, Chun H, Jeong C, Choi S, Sung W. U- and E-Service, Science and Technology. 2011. Chapter 29:233
    CrossRef
  4. Denecke K, Soltani N. Where Humans Meet Machines. 2013. Chapter 2:27
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  5. Inthiran A, Alhashmi SM, Ahmed PK. Advancing Medical Practice through Technology. 2014. chapter 1:1
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  6. . Social Web and Health Research. 2019. Chapter 6:103
    CrossRef
  7. 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. 2019. chapter 6:98
    CrossRef