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

Cancer Survivorship (258) Peer-to-Peer Support and Online Communities (636) Information Seeking, Information Needs (465)

Published on in Vol 4, No 1 (2018): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9050, first published .
Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval

Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval

Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval

Authors of this article:

Susan McRoy1 Author Orcid Image ;   Majid Rastegar-Mojarad2 Author Orcid Image ;   Yanshan Wang2 Author Orcid Image ;   Kathryn J. Ruddy2 Author Orcid Image ;   Tufia C. Haddad3 Author Orcid Image ;   Hongfang Liu2 Author Orcid Image
Article Authors Cited by (23) Tweetations (4) Metrics

Journals

  1. Hargreaves S, Bath P. Online Health Forums: The Role of Online Support for People Living with Breast Cancer. Breast Cancer Management 2019;8(2) View
  2. van Eenbergen M, van Engelen H, Ezendam N, van de Poll-Franse L, Tates K, Krahmer E. Paying attention to relatives of cancer patients: What can we learn from their online writings?. Patient Education and Counseling 2019;102(3):404 View
  3. Lu H, Xie J, Gerido L, Cheng Y, Chen Y, Sun L. Information Needs of Breast Cancer Patients: Theory-Generating Meta-Synthesis. Journal of Medical Internet Research 2020;22(7):e17907 View
  4. Hand L, Thomas T, Belcher S, Campbell G, Lee Y, Roberge M, Donovan H. Defining Essential Elements of Caregiver Support in Gynecologic Cancers Using the Modified Delphi Method. Journal of Oncology Practice 2019;15(4):e369 View
  5. Hirschey R, Bryant A, Walker J, Nolan T. Systematic Review of Video Education in Underrepresented Minority Cancer Survivors. Cancer Nursing 2020;43(4):259 View
  6. López Seguí F, Ander Egg Aguilar R, de Maeztu G, García-Altés A, García Cuyàs F, Walsh S, Sagarra Castro M, Vidal-Alaball J. Teleconsultations between Patients and Healthcare Professionals in Primary Care in Catalonia: The Evaluation of Text Classification Algorithms Using Supervised Machine Learning. International Journal of Environmental Research and Public Health 2020;17(3):1093 View
  7. Pereira A, Destro J, Picinin Bernuci M, Garcia L, Rodrigues Lucena T. Effects of a WhatsApp-Delivered Education Intervention to Enhance Breast Cancer Knowledge in Women: Mixed-Methods Study. JMIR mHealth and uHealth 2020;8(7):e17430 View
  8. Jelodar H, Wang Y, Orji R, Huang S. Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approach. IEEE Journal of Biomedical and Health Informatics 2020;24(10):2733 View
  9. Dau H, Safari A, Saad El Din K, McTaggart-Cowan H, Loree J, Gill S, De Vera M. Assessing how health information needs of individuals with colorectal cancer are met across the care continuum: an international cross-sectional survey. BMC Cancer 2020;20(1) View
  10. Lehmann J, Cofala T, Tschuggnall M, Giesinger J, Rumpold G, Holzner B. Machine learning in oncology—Perspectives in patient-reported outcome research. Der Onkologe 2021;27(S2):150 View
  11. Lehmann J, Cofala T, Tschuggnall M, Giesinger J, Rumpold G, Holzner B. Machine Learning in der Onkologie – Perspektiven in der Patient-Reported-Outcome-Forschung. Der Onkologe 2021;27(6):587 View
  12. Nguyen A, Trinh X, Wang S, Wu A. Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions. Journal of Medical Internet Research 2021;23(5):e20803 View
  13. Frank P, Lu M, Sasse E. Educational and Emotional Needs of Patients with Myelodysplastic Syndromes: An AI Analysis of Multi-Country Social Media. Advances in Therapy 2023;40(1):159 View
  14. Ciria-Suarez L, Costas L, Flix-Valle A, Serra-Blasco M, Medina J, Ochoa-Arnedo C. A Digital Cancer Ecosystem to Deliver Health and Psychosocial Education as Preventive Intervention. Cancers 2022;14(15):3724 View
  15. Omranian S, Zolnoori M, Huang M, Campos-Castillo C, McRoy S. Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media. JMIR Infodemiology 2023;3:e37207 View
  16. Cheng Q, Lin Y. Multilevel Classification of Users’ Needs in Chinese Online Medical and Health Communities: Model Development and Evaluation Based on Graph Convolutional Network. JMIR Formative Research 2023;7:e42297 View
  17. Tanemura N, Sasaki T, Miyamoto R, Watanabe J, Araki M, Sato J, Chiba T. Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in machine learning. BMC Medical Informatics and Decision Making 2023;23(1) View
  18. Gethsiya Raagel K, Bagavandas M, Sathya Narayana Sharma K, Manikandan P, Muthu C. Sentiment Analysis and Topic Modeling on Polycystic Ovary Syndrome from Online Forum Using Deep Learning Approach. Wireless Personal Communications 2023;133(2):869 View
  19. Szamreta E, Mulvihill E, Aguinaga K, Amos K, Zannit H, Salani R. Information needs during cancer care: Qualitative research with locally advanced cervical cancer patients in Brazil, China, Germany, & the US. Gynecologic Oncology Reports 2024;51:101321 View
  20. Suarez N, Morrow A, LaVecchia C, Dugas M, Carnovale V, Maraboto A, Leon-Garcia M, Lucar M, Hasset L, Diallo T, Dupéré S, LeBlanc A. Connected and supported: a scoping review of how online communities provide social support for breast cancer survivors. Journal of Cancer Survivorship 2024 View
  21. 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. Giyahchi T, Singh S, Harris I, Pechmann C. Multimodal AI in Healthcare. View