Published on in Vol 20, No 5 (2018): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10047, first published .
Public Opinions Toward Diseases: Infodemiological Study on News Media Data

Public Opinions Toward Diseases: Infodemiological Study on News Media Data

Public Opinions Toward Diseases: Infodemiological Study on News Media Data

Authors of this article:

Ming Huang1 Author Orcid Image ;   Omar ElTayeby2 Author Orcid Image ;   Maryam Zolnoori1 Author Orcid Image ;   Lixia Yao1 Author Orcid Image

Journals

  1. Huang M, Shah N, Yao L. Evaluating global and local sequence alignment methods for comparing patient medical records. BMC Medical Informatics and Decision Making 2019;19(S6) View
  2. Huang M, Zolnoori M, Balls-Berry J, Brockman T, Patten C, Yao L. Technological Innovations in Disease Management: Text Mining US Patent Data From 1995 to 2017. Journal of Medical Internet Research 2019;21(4):e13316 View
  3. 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
  4. Maggio L, Krakow M, Moorhead L. ‘There were some clues’: a qualitative study of heuristics used by parents of adolescents to make credibility judgements of online health news articles citing research. BMJ Open 2020;10(8):e039692 View
  5. Wu P, Gifford A, Meng X, Li X, Campbell H, Varley T, Zhao J, Carroll R, Bastarache L, Denny J, Theodoratou E, Wei W. Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation. JMIR Medical Informatics 2019;7(4):e14325 View
  6. Zhou P, He Y, Lyu C, Yang X. Characterizing News Report of the Substandard Vaccine Case of Changchun Changsheng in China: A Text Mining Approach. Vaccines 2020;8(4):691 View
  7. Wang Q, Zhang W, Cai H, Cao Y. Understanding the perceptions of Chinese women of the commercially available domestic and imported HPV vaccine: A semantic network analysis. Vaccine 2020;38(52):8334 View
  8. 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
  9. Zolnoori M, Huang M, Patten C, Balls-Berry J, Goudarzvand S, Brockman T, Sagheb E, Yao L. Mining news media for understanding public health concerns. Journal of Clinical and Translational Science 2021;5(1) View
  10. De A, Huang M, Feng T, Yue X, Yao L. Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study. Journal of Medical Internet Research 2021;23(7):e26770 View
  11. Ong S, Pauzi M, Gan K. Text mining in mosquito-borne disease: A systematic review. Acta Tropica 2022;231:106447 View
  12. Wu D, Kasson E, Singh A, Ren Y, Kaiser N, Huang M, Cavazos-Rehg P. Topics and Sentiment Surrounding Vaping on Twitter and Reddit During the 2019 e-Cigarette and Vaping Use–Associated Lung Injury Outbreak: Comparative Study. Journal of Medical Internet Research 2022;24(12):e39460 View
  13. Kasson E, Singh A, Huang M, Wu D, Cavazos-Rehg P. Using a mixed methods approach to identify public perception of vaping risks and overall health outcomes on Twitter during the 2019 EVALI outbreak. International Journal of Medical Informatics 2021;155:104574 View
  14. Park D, Kim D, Park A. Agendas on Nursing in South Korea Media: Natural Language Processing and Network Analysis of News From 2005 to 2022. Journal of Medical Internet Research 2024;26:e50518 View

Books/Policy Documents

  1. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Social Media and the Armed Forces. View
  2. Medina-Moreira J, García-Díaz J, Apolinardo-Arzube O, Luna-Aveiga H, Valencia-García R. Technologies and Innovation. View
  3. Huang M, Shah N, Yao L. Explainable AI in Healthcare and Medicine. View
  4. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Soziale Medien und die Streitkräfte. View