Published on in Vol 3, No 2 (2015): April-June

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

Journals

  1. Miller A. Text Mining Digital Humanities Projects: Assessing Content Analysis Capabilities of Voyant Tools. Journal of Web Librarianship 2018;12(3):169 View
  2. Saini M, Belson S, Lahiff-Jenkins C, Sandercock P. Top 10 global educational topics in stroke: A survey by the World Stroke Organization. International Journal of Stroke 2019;14(8):843 View
  3. Salazar-López M, Vanin A, Cazella S, Levandowski D. Consequências na alimentação de crianças órfãs após a morte materna: uma investigação por meio de softwares de mineração de texto. Cadernos de Saúde Pública 2020;36(3) View
  4. Pérez S, Laperrière V, Borderon M, Padilla C, Maignant G, Oliveau S. Evolution of research in health geographics through the International Journal of Health Geographics (2002–2015). International Journal of Health Geographics 2016;15(1) View
  5. Zahedzadeh G. Overt attacks and covert thoughts. Aggression and Violent Behavior 2017;36:1 View
  6. Parsonage R, Hiscock J, Law R, Neal R. Patient perspectives on delays in diagnosis and treatment of cancer: a qualitative analysis of free-text data. British Journal of General Practice 2017;67(654):e49 View
  7. Abraham T, Deen T, Hamilton M, True G, O’Neil M, Blanchard J, Uddo M. Analyzing free-text survey responses: An accessible strategy for developing patient-centered programs and program evaluation. Evaluation and Program Planning 2020;78:101733 View
  8. Huxster J, Slater M, Leddington J, LoPiccolo V, Bergman J, Jones M, McGlynn C, Diaz N, Aspinall N, Bresticker J, Hopkins M. Understanding “understanding” in Public Understanding of Science. Public Understanding of Science 2018;27(7):756 View
  9. Bilgihan A, Seo S, Choi J. Identifying restaurant satisfiers and dissatisfiers: Suggestions from online reviews. Journal of Hospitality Marketing & Management 2018;27(5):601 View
  10. Hu G, Han X, Zhou H, Liu Y. Public Perception on Healthcare Services: Evidence from Social Media Platforms in China. International Journal of Environmental Research and Public Health 2019;16(7):1273 View
  11. Kumar C, Babu L. Evolving dictionary based sentiment scoring framework for patient authored text. Evolutionary Intelligence 2021;14(2):657 View
  12. Kool R, Kleefstra S, Borghans I, Atsma F, van de Belt T. Influence of Intensified Supervision by Health Care Inspectorates on Online Patient Ratings of Hospitals: A Multilevel Study of More Than 43,000 Online Ratings. Journal of Medical Internet Research 2016;18(7):e198 View
  13. Yeung D. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94 View
  14. Etz R, Gonzalez M, Eden A, Winship J. Rapid Sense Making. International Journal of Qualitative Methods 2018;17(1):160940691876550 View
  15. Arditi C, Walther D, Gilles I, Lesage S, Griesser A, Bienvenu C, Eicher M, Peytremann-Bridevaux I. Computer-assisted textual analysis of free-text comments in the Swiss Cancer Patient Experiences (SCAPE) survey. BMC Health Services Research 2020;20(1) View
  16. Jacobs M, Briley P, Ellis C. Quantifying Experiences with Telepractice for Aphasia Therapy: A Text Mining Analysis of Client Response Data. Seminars in Speech and Language 2020;41(05):414 View
  17. Hendrickx I, Voets T, van Dyk P, Kool R. Using Text Mining Techniques to Identify Health Care Providers With Patient Safety Problems: Exploratory Study. Journal of Medical Internet Research 2021;23(7):e19064 View