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

Physician and Health Services Rating by Consumers (128)

Published on in Vol 18, No 5 (2016): May

The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews

The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews

The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews

Authors of this article:

Haijing Hao1 Author Orcid Image ;   Kunpeng Zhang2 Author Orcid Image
Article Authors Cited by (83) Tweetations (8) Metrics

Journals

  1. Islam M, Hasan M, Wang X, Germack H, Noor-E-Alam M. A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining. Healthcare 2018;6(2):54 View
  2. Hong Y, Liang C, Radcliff T, Wigfall L, Street R. What Do Patients Say About Doctors Online? A Systematic Review of Studies on Patient Online Reviews. Journal of Medical Internet Research 2019;21(4):e12521 View
  3. Bidmon S, Elshiewy O, Terlutter R, Boztug Y. What Patients Value in Physicians: Analyzing Drivers of Patient Satisfaction Using Physician-Rating Website Data. Journal of Medical Internet Research 2020;22(2):e13830 View
  4. Liu Q, Liao K, Tsoi K, Wei Z. Acceptance Prediction for Answers on Online Health-care Community. BMC Bioinformatics 2019;20(S18) View
  5. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  6. Shah A, Yan X, Shah S, Mamirkulova G. Mining patient opinion to evaluate the service quality in healthcare: a deep-learning approach. Journal of Ambient Intelligence and Humanized Computing 2020;11(7):2925 View
  7. Shah A, Yan X, Tariq S, Khan S. Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals. Quality & Quantity 2021;55(1):173 View
  8. Deng Q, Gao Y, Wang C, Zhang H. Detecting information requirements for crisis communication from social media data: An interactive topic modeling approach. International Journal of Disaster Risk Reduction 2020;50:101692 View
  9. Rivas R, Montazeri N, Le N, Hristidis V. Automatic Classification of Online Doctor Reviews: Evaluation of Text Classifier Algorithms. Journal of Medical Internet Research 2018;20(11):e11141 View
  10. Lin Y, Hong Y, Henson B, Stevenson R, Hong S, Lyu T, Liang C. Assessing Patient Experience and Healthcare Quality of Dental Care Using Patient Online Reviews in the United States: Mixed Methods Study. Journal of Medical Internet Research 2020;22(7):e18652 View
  11. Li J, Liu M, Li X, Liu X, Liu J. Developing Embedded Taxonomy and Mining Patients’ Interests From Web-Based Physician Reviews: Mixed-Methods Approach. Journal of Medical Internet Research 2018;20(8):e254 View
  12. Yan M, Tan H, Jia L, Akram U. The Antecedents of Poor Doctor-Patient Relationship in Mobile Consultation: A Perspective from Computer-Mediated Communication. International Journal of Environmental Research and Public Health 2020;17(7):2579 View
  13. Shah A, Yan X, Khan S, Khurrum W, Khan Q. A multi-modal approach to predict the strength of doctor–patient relationships. Multimedia Tools and Applications 2021;80(15):23207 View
  14. Tapi Nzali M, Bringay S, Lavergne C, Mollevi C, Opitz T. What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer. JMIR Medical Informatics 2017;5(3):e23 View
  15. He L, Han D, Zhou X, Qu Z. The Voice of Drug Consumers: Online Textual Review Analysis Using Structural Topic Model. International Journal of Environmental Research and Public Health 2020;17(10):3648 View
  16. Zaman N, Goldberg D, Abrahams A, Essig R. Facebook Hospital Reviews: Automated Service Quality Detection and Relationships with Patient Satisfaction. Decision Sciences 2021;52(6):1403 View
  17. Lantzy S, Anderson D. Can Consumers Use Online Reviews to Avoid Unsuitable Doctors? Evidence From RateMDs.com and the Federation of State Medical Boards. Decision Sciences 2020;51(4):962 View
  18. Han X, Qu J, Zhang T. Exploring the impact of review valence, disease risk, and trust on patient choice based on online physician reviews. Telematics and Informatics 2019;45:101276 View
  19. Zhang W, Deng Z, Hong Z, Evans R, Ma J, Zhang H. Unhappy Patients Are Not Alike: Content Analysis of the Negative Comments from China's Good Doctor Website. Journal of Medical Internet Research 2018;20(1):e35 View
  20. Hu J, Zhang X, Yang Y, Liu Y, Chen X. New doctors ranking system based on VIKOR method. International Transactions in Operational Research 2020;27(2):1236 View
  21. Li Q. Healthcare at Your Fingertips: The Acceptance and Adoption of Mobile Medical Treatment Services among Chinese Users. International Journal of Environmental Research and Public Health 2020;17(18):6895 View
  22. Button K, Spasić I, Playle R, Owen D, Lau M, Hannaway L, Jones S. Using routine referral data for patients with knee and hip pain to improve access to specialist care. BMC Musculoskeletal Disorders 2020;21(1) View
  23. Powell J, Atherton H, Williams V, Mazanderani F, Dudhwala F, Woolgar S, Boylan A, Fleming J, Kirkpatrick S, Martin A, van Velthoven M, de Iongh A, Findlay D, Locock L, Ziebland S. Using online patient feedback to improve NHS services: the INQUIRE multimethod study. Health Services and Delivery Research 2019;7(38):1 View
  24. Cho I, Lee M, Kim Y. What are the main patient safety concerns of healthcare stakeholders: a mixed-method study of Web-based text. International Journal of Medical Informatics 2020;140:104162 View
  25. Wang J, Chiu Y, Yu H, Hsu Y. Understanding a Nonlinear Causal Relationship Between Rewards and Physicians’ Contributions in Online Health Care Communities: Longitudinal Study. Journal of Medical Internet Research 2017;19(12):e427 View
  26. McLennan S. Quantitative Ratings and Narrative Comments on Swiss Physician Rating Websites: Frequency Analysis. Journal of Medical Internet Research 2019;21(7):e13816 View
  27. Min K, Song S, Min J. Topic Modeling of Social Networking Service Data on Occupational Accidents in Korea: Latent Dirichlet Allocation Analysis. Journal of Medical Internet Research 2020;22(8):e19222 View
  28. Chen X, Faviez C, Schuck S, Lillo-Le-Louët A, Texier N, Dahamna B, Huot C, Foulquié P, Pereira S, Leroux V, Karapetiantz P, Guenegou-Arnoux A, Katsahian S, Bousquet C, Burgun A. Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate. Frontiers in Pharmacology 2018;9 View
  29. Deng Z, Hong Z, Zhang W, Evans R, Chen Y. The Effect of Online Effort and Reputation of Physicians on Patients’ Choice: 3-Wave Data Analysis of China’s Good Doctor Website. Journal of Medical Internet Research 2019;21(3):e10170 View
  30. Han X, Li B, Zhang T, Qu J. Factors Associated With the Actual Behavior and Intention of Rating Physicians on Physician Rating Websites: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(6):e14417 View
  31. Hao H, Zhang K, Wang W, Gao G. A tale of two countries: International comparison of online doctor reviews between China and the United States. International Journal of Medical Informatics 2017;99:37 View
  32. Luo A, Xin Z, Yuan Y, Wen T, Xie W, Zhong Z, Peng X, Ouyang W, Hu C, Liu F, Chen Y, He H. Multidimensional Feature Classification of the Health Information Needs of Patients With Hypertension in an Online Health Community Through Analysis of 1000 Patient Question Records: Observational Study. Journal of Medical Internet Research 2020;22(5):e17349 View
  33. TOPLU S, CANGÜR Ş. Text Mining Method in the Field of Health. Konuralp Tıp Dergisi 2020;12(2):236 View
  34. Liu J, Zhang W, Jiang X, Zhou Y. Data Mining of the Reviews from Online Private Doctors. Telemedicine and e-Health 2020;26(9):1157 View
  35. Shah A, Yan X, Tariq S, Ali M. What patients like or dislike in physicians: Analyzing drivers of patient satisfaction and dissatisfaction using a digital topic modeling approach. Information Processing & Management 2021;58(3):102516 View
  36. Wu Q, Tang L. What Satisfies Parents of Pediatric Patients in China: A Grounded Theory Building Analysis of Online Physician Reviews. Health Communication 2022;37(10):1329 View
  37. Khanbhai M, Anyadi P, Symons J, Flott K, Darzi A, Mayer E. Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review. BMJ Health & Care Informatics 2021;28(1):e100262 View
  38. Shah A, Yan X, Qayyum A, Naqvi R, Shah S. Mining topic and sentiment dynamics in physician rating websites during the early wave of the COVID-19 pandemic: Machine learning approach. International Journal of Medical Informatics 2021;149:104434 View
  39. Gong Y, Wang H, Xia Q, Zheng L, Shi Y. Factors that determine a Patient's willingness to physician selection in online healthcare communities: A trust theory perspective. Technology in Society 2021;64:101510 View
  40. Fairie P, Zhang Z, D'Souza A, Walsh T, Quan H, Santana M. Categorising patient concerns using natural language processing techniques. BMJ Health & Care Informatics 2021;28(1):e100274 View
  41. Wan Y, Peng Z, Wang Y, Zhang Y, Gao J, Ma B. Influencing factors and mechanism of doctor consultation volume on online medical consultation platforms based on physician review analysis. Internet Research 2021;31(6):2055 View
  42. Hu Y, Zhou H, Chen Y, Yao J, Su J. The influence of patient-generated reviews and doctor-patient relationship on online consultations in China. Electronic Commerce Research 2023;23(2):1115 View
  43. Saifee D, Hudnall M, Raja U. Physician Gender, Patient Risk, and Web-Based Reviews: Longitudinal Study of the Relationship Between Physicians’ Gender and Their Web-Based Reviews. Journal of Medical Internet Research 2022;24(4):e31659 View
  44. Liu J, Gao L. Research on the Characteristics and Usefulness of User Reviews of Online Mental Health Consultation Services: A Content Analysis. Healthcare 2021;9(9):1111 View
  45. Hsu Y, Chiu Y, Wang J, Liu H. Impacts of physician promotion on the online healthcare community: Using a difference-in-difference approach. DIGITAL HEALTH 2022;8:205520762211063 View
  46. Hsu Y, Duan R, Chiu Y, Wang J. Understanding the Inequality of Web Traffic and Engagement in Online Healthcare Communities. Frontiers in Public Health 2022;10 View
  47. Wei X, Hsu Y. Extracting Additional Influences From Physician Profiles With Topic Modeling: Impact on Ratings and Page Views in Online Healthcare Communities. Frontiers in Psychology 2022;13 View
  48. Yin R, Tian R, Wu J, Gan F. Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach. International Journal of Environmental Research and Public Health 2022;19(19):12579 View
  49. Du Y, Chen Z, Yang J, Morente-Molinera J, Zhang L, Herrera-Viedma E. A Textual Data-Oriented Method for Doctor Selection in Online Health Communities. Sustainability 2023;15(2):1241 View
  50. Wu J, Zhang G, Xing Y, Liu Y, Zhang Z, Dong Y, Herrera-Viedma E. A sentiment analysis driven method based on public and personal preferences with correlated attributes to select online doctors. Applied Intelligence 2023;53(16):19093 View
  51. A. Rahim A, Ibrahim M, Musa K, Chua S, Yaacob N. Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. International Journal of Environmental Research and Public Health 2021;18(18):9912 View
  52. Xie Y, Xiang F. An improved approach based on dynamic mixed sampling and transfer learning for topic recognition: a case study on online patient reviews. Online Information Review 2022;46(6):1017 View
  53. Barnett J, Bjarnadóttir M, Anderson D, Chen C. Understanding Gender Biases and Differences in Web-Based Reviews of Sanctioned Physicians Through a Machine Learning Approach: Mixed Methods Study. JMIR Formative Research 2022;6(9):e34902 View
  54. Chandrasekaran R, Bapat P, Jeripity Venkata P, Moustakas E. Do Patients Assess Physicians Differently in Video Visits as Compared with In-Person Visits? Insights from Text-Mining Online Physician Reviews. Telemedicine and e-Health 2023;29(10):1557 View
  55. Shah A, Muhammad W, Lee K, Naqvi R. Examining Different Factors in Web-Based Patients’ Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System. International Journal of Environmental Research and Public Health 2021;18(21):11226 View
  56. Li G, Han C, Liu P. Does Internet Use Affect Medical Decisions among Older Adults in China? Evidence from CHARLS. Healthcare 2021;10(1):60 View
  57. Wang H, Sun K, Wang Y. Exploring the Chinese Public’s Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis. International Journal of Environmental Research and Public Health 2022;19(14):8377 View
  58. Liu J, Gao L. Lurking or active? The influence of user participation behavior in online mental health communities on the choice and evaluation of doctors. Journal of Affective Disorders 2022;301:454 View
  59. Khanbhai M, Warren L, Symons J, Flott K, Harrison-White S, Manton D, Darzi A, Mayer E. Using natural language processing to understand, facilitate and maintain continuity in patient experience across transitions of care. International Journal of Medical Informatics 2022;157:104642 View
  60. Xu R, Zhou L, Wong E, Wang D. Investigating Medical Student's Preferences for Internet-Based Healthcare Services: A Best-Worst Scaling Survey. Frontiers in Public Health 2021;9 View
  61. Fan W, Zhou Q, Qiu L, Kumar S. Should Doctors Open Online Consultation Services? An Empirical Investigation of Their Impact on Offline Appointments. Information Systems Research 2023;34(2):629 View
  62. Shu T, Wang Z, Jia H, Zhao W, Zhou J, Peng T. Consumers’ Opinions towards Public Health Effects of Online Games: An Empirical Study Based on Social Media Comments in China. International Journal of Environmental Research and Public Health 2022;19(19):12793 View
  63. Liu X, Zhou Y, Wang Z. Preference access of users' cancer risk perception using disease-specific online medical inquiry texts. Information Processing & Management 2022;59(1):102737 View
  64. Tian R, Yin R, Gan F. Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo. Frontiers in Public Health 2022;10 View
  65. Li J, Pang P, Xiao Y, Wong D. Changes in Doctor–Patient Relationships in China during COVID-19: A Text Mining Analysis. International Journal of Environmental Research and Public Health 2022;19(20):13446 View
  66. Zhou C, Yang S, Chen Y, Zhou S, Li Y, Qazi A. How does topic consistency affect online review helpfulness? The role of review emotional intensity. Electronic Commerce Research 2023;23(4):2943 View
  67. Wang P, Li S, Wang Z, Jiao M, Zhang Y, Huang W, Ning N, Gao L, Shan L, Li Y, Wu Q. Perceptions of the benefits of the basic medical insurance system among the insured: a mixed methods research of a northern city in China. Frontiers in Public Health 2023;11 View
  68. Yu H, Chiu Y, Wang J, Yu J, Hsu Y. Electronic consultation accessibility influence on patient assessments: A case–control study with user-generated tags of physician expertise. DIGITAL HEALTH 2023;9 View
  69. Stanworth J, Hsu R, Stanworth P, Kemp J, Tzen R, Wu H. When Culture Matters: Using Compliments and Complaints to Define and Influence Chinese Patients’ Satisfaction. Health Communication 2024;39(1):136 View
  70. Liu J, Jiang H. Exploring the Effects of Online Physician Voice Pitch Range and Filled Pauses on Patient Satisfaction in Mobile Health Communication. Health Communication 2024;39(13):3258 View
  71. Kalabikhina I, Moshkin V, Kolotusha A, Kashin M, Klimenko G, Kazbekova Z. Advancing Semantic Classification: A Comprehensive Examination of Machine Learning Techniques in Analyzing Russian-Language Patient Reviews. Mathematics 2024;12(4):566 View
  72. Liu X, Zhou Y, Wang Z, Kumar A, Biswas B. Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records. IEEE Transactions on Engineering Management 2024;71:6319 View
  73. Zhao Y, Li T, Yuan Q, Deng S. How to detect fake online physician reviews: A deep learning approach. DIGITAL HEALTH 2024;10 View
  74. Liu J, Ding P, Jiang H. Exploring sources of patient dissatisfaction in mobile health communication: A text analysis based on structural topic model. DIGITAL HEALTH 2024;10 View
  75. Liu Y, Ren X, Ji F, Liang C, Wu J. A Kansei engineering-based decision-making method for offline medical service quality evaluation with multidimensional attributes. Socio-Economic Planning Sciences 2024;96:102100 View

Books/Policy Documents

  1. Shah A, Yan X, Shah S, Khan S. Smart Health. View
  2. Kersting J, Geierhos M. Natural Language Processing in Artificial Intelligence—NLPinAI 2020. View
  3. Eti S, Mızrak F. Strategic Outlook for Innovative Work Behaviours. View