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Citing this Article

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Published on 24.11.16 in Vol 4, No 4 (2016): Oct-Dec

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

Works citing "Consumers’ Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites"

Min Sook Park, Zhe He, Zhiwei Chen, Sanghee Oh, Jiang Bian

JMIR Med Inform 2016 (Nov 24); 4(4):e41 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.5748):

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

  1. Amith M, He Z, Bian J, Lossio-Ventura JA, Tao C. Assessing the practice of biomedical ontology evaluation: Gaps and opportunities. Journal of Biomedical Informatics 2018;80:1
    CrossRef
  2. 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
    CrossRef
  3. Park MS, Oh H, You S. Health information seeking among people with multiple chronic conditions: Contextual factors and their associations mined from questions in social media. Library & Information Science Research 2020;42(3):101030
    CrossRef
  4. Alasmari A, Zhou L. How multimorbid health information consumers interact in an online community Q&A platform. International Journal of Medical Informatics 2019;131:103958
    CrossRef
  5. Bahng J, Lee CH. Topic Modeling for Analyzing Patients’ Perceptions and Concerns of Hearing Loss on Social Q&A Sites: Incorporating Patients’ Perspective. International Journal of Environmental Research and Public Health 2020;17(17):6209
    CrossRef
  6. Gabarron E, Bradway M, Fernandez-Luque L, Chomutare T, Hansen AH, Wynn R, Årsand E. Social media for health promotion in diabetes: study protocol for a participatory public health intervention design. BMC Health Services Research 2018;18(1)
    CrossRef
  7. Vasilevsky NA, Foster ED, Engelstad ME, Carmody L, Might M, Chambers C, Dawkins HJS, Lewis J, Della Rocca MG, Snyder M, Boerkoel CF, Rath A, Terry SF, Kent A, Searle B, Baynam G, Jones E, Gavin P, Bamshad M, Chong J, Groza T, Adams D, Resnick AC, Heath AP, Mungall C, Holm IA, Rageth K, Brownstein CA, Shefchek K, McMurry JA, Robinson PN, Köhler S, Haendel MA. Plain-language medical vocabulary for precision diagnosis. Nature Genetics 2018;50(4):474
    CrossRef
  8. 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
    CrossRef
  9. Zhang Z, Citardi D, Xing A, Luo X, Lu Y, He Z. Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study. Journal of Medical Internet Research 2020;22(12):e18725
    CrossRef
  10. 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)
    CrossRef
  11. Kamba M, Manabe M, Wakamiya S, Yada S, Aramaki E, Odani S, Miyashiro I. Medical Needs Extraction for Breast Cancer Patients from Question and Answer Services: Natural Language Processing-Based Approach. JMIR Cancer 2021;7(4):e32005
    CrossRef
  12. Turki H, Jemielniak D, Hadj Taieb MA, Labra Gayo JE, Ben Aouicha M, Banat M, Shafee T, Prud’hommeaux E, Lubiana T, Das D, Mietchen D. Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata. PeerJ Computer Science 2022;8:e1085
    CrossRef
  13. Tong C, Margolin D, Chunara R, Niederdeppe J, Taylor T, Dunbar N, King AJ. 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
    CrossRef
  14. . A vector-based semantic relatedness measure using multiple relations within SNOMED CT and UMLS. Journal of Biomedical Informatics 2022;131:104118
    CrossRef
  15. Kariya A, Okada H, Suzuki S, Dote S, Nishikawa Y, Araki K, Takahashi Y, Nakayama T. Internet-Based Inquiries From Users With the Intention to Overdose With Over-the-Counter Drugs: Qualitative Analysis of Yahoo! Chiebukuro. JMIR Formative Research 2023;7:e45021
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.5748):

  1. Alasmari A, Zhou L. Social Computing and Social Media. Communication and Social Communities. 2019. Chapter 7:79
    CrossRef
  2. Khaja HI, Abate M, Zheng W, Abbasi A, Adjeroh D. Social, Cultural, and Behavioral Modeling. 2018. Chapter 33:292
    CrossRef
  3. . Social Web and Health Research. 2019. Chapter 6:103
    CrossRef