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

Natural Language Processing (692) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Breast Cancer (206)

Published on in Vol 6, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9162, first published .
Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum

Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum

Novel Approach to Cluster Patient-Generated Data Into Actionable Topics: Case Study of a Web-Based Breast Cancer Forum

Authors of this article:

Josette Jones1 Author Orcid Image ;   Meeta Pradhan2 Author Orcid Image ;   Masoud Hosseini1 Author Orcid Image ;   Anand Kulanthaivel1 Author Orcid Image ;   Mahmood Hosseini3 Author Orcid Image
Article Authors Cited by (22) Tweetations (2) Metrics

Journals

  1. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  2. Bahng J, Lee C. 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 View
  3. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  4. Ladds E, Rushforth A, Wieringa S, Taylor S, Rayner C, Husain L, Greenhalgh T. Persistent symptoms after Covid-19: qualitative study of 114 “long Covid” patients and draft quality principles for services. BMC Health Services Research 2020;20(1) View
  5. Dehdarirad T, Freer J. Is there alignment amongst scientific literature, news media and patient forums regarding topics?: A study of breast and lung cancer. Online Information Review 2021;45(5):983 View
  6. Athira B, Jones J, Idicula S, Kulanthaivel A, Zhang E. Annotating and detecting topics in social media forum and modelling the annotation to derive directions-a case study. Journal of Big Data 2021;8(1) View
  7. Baglione A, Cai L, Bahrini A, Posey I, Boukhechba M, Chow P. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712 View
  8. Adams E, Tallman D, Haynam M, Nekhlyudov L, Lustberg M. Psychosocial Needs of Gynecological Cancer Survivors: Mixed Methods Study. Journal of Medical Internet Research 2022;24(9):e37757 View
  9. van Buchem M, Neve O, Kant I, Steyerberg E, Boosman H, Hensen E. Analyzing patient experiences using natural language processing: development and validation of the artificial intelligence patient reported experience measure (AI-PREM). BMC Medical Informatics and Decision Making 2022;22(1) View
  10. Watanabe T, Yada S, Aramaki E, Yajima H, Kizaki H, Hori S. Extracting Multiple Worries From Breast Cancer Patient Blogs Using Multilabel Classification With the Natural Language Processing Model Bidirectional Encoder Representations From Transformers: Infodemiology Study of Blogs. JMIR Cancer 2022;8(2):e37840 View
  11. Skeen S, Jones S, Cruse C, Horvath K. Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis. JMIR Human Factors 2022;9(3):e37350 View
  12. Athira B, Idicula S, Jones J, Kulanthaivel A. An answer recommendation framework for an online cancer community forum. Multimedia Tools and Applications 2024;83(1):173 View
  13. Rana A, Arora M. Ketogenic diet: Assessing YouTube video information using quality, reliability, and text analytics methods. Nutrition and Health 2023 View
  14. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  15. Burgué H, Trensz P, Mathelin C, Schohn A. Les forums de discussion dédiés au cancer du sein peuvent-ils être utiles aux soignants ? Analyse des messages initiaux du forum de la Ligue nationale contre le cancer pendant une année. Gynécologie Obstétrique Fertilité & Sénologie 2024;52(7-8):466 View
  16. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View
  17. Rozmus C, White L, Risser A, Hara R, Golant M, Mendoza T, Cohen M. Cancer-related Fatigue Reported in Online Discussion Groups. Western Journal of Nursing Research 2021;43(5):452 View
  18. Xu A, Gao Y. Supporting the care to breast cancer patients with unique needs: Evidence from online community members’ responses. International Journal of Medical Informatics 2025;193:105695 View

Books/Policy Documents

  1. Athira B, Idicula S. Intelligent Data Engineering and Analytics. View
  2. Athira B, Idicula S. Advances in Micro-Electronics, Embedded Systems and IoT. View