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Citing this Article

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Published on 15.05.18 in Vol 4, No 1 (2018): Jan-Jun

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

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

Susan McRoy, Majid Rastegar-Mojarad, Yanshan Wang, Kathryn J. Ruddy, Tufia C. Haddad, Hongfang Liu

JMIR Cancer 2018 (May 15); 4(1):e10 

According to Crossref, the following articles are citing this article (DOI 10.2196/cancer.9050):

(note that this is only a small subset of citations)

  1. Hargreaves S, Bath PA. Online health forums: the role of online support for people living with breast cancer. Breast Cancer Management 2019;8(2):BMT26
    CrossRef
  2. van Eenbergen MC, van Engelen H, Ezendam NP, van de Poll-Franse LV, Tates K, Krahmer EJ. Paying attention to relatives of cancer patients: What can we learn from their online writings?. Patient Education and Counseling 2019;102(3):404
    CrossRef
  3. Lu H, Xie J, Gerido LH, 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
    CrossRef
  4. Hand LC, Thomas TH, Belcher S, Campbell G, Lee YJ, Roberge M, Donovan HS. Defining Essential Elements of Caregiver Support in Gynecologic Cancers Using the Modified Delphi Method. Journal of Oncology Practice 2019;15(4):e369
    CrossRef
  5. Hirschey R, Bryant AL, Walker JS, Nolan TS. Systematic Review of Video Education in Underrepresented Minority Cancer Survivors. Cancer Nursing 2020;43(4):259
    CrossRef
  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
    CrossRef
  7. Pereira AAC, Destro JR, Picinin Bernuci M, Garcia LF, Rodrigues Lucena TF. 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
    CrossRef
  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
    CrossRef
  9. Dau H, Safari A, Saad El Din K, McTaggart-Cowan H, Loree JM, Gill S, De Vera MA. 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)
    CrossRef
  10. Lehmann J, Cofala T, Tschuggnall M, Giesinger JM, Rumpold G, Holzner B. Machine learning in oncology—Perspectives in patient-reported outcome research. Der Onkologe 2021;27(S2):150
    CrossRef
  11. Lehmann J, Cofala T, Tschuggnall M, Giesinger JM, Rumpold G, Holzner B. Machine Learning in der Onkologie – Perspektiven in der Patient-Reported-Outcome-Forschung. Der Onkologe 2021;27(6):587
    CrossRef
  12. Nguyen AX, Trinh X, Wang SY, Wu AY. 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
    CrossRef
  13. Frank PP, Lu MXE, Sasse EC. Educational and Emotional Needs of Patients with Myelodysplastic Syndromes: An AI Analysis of Multi-Country Social Media. Advances in Therapy 2023;40(1):159
    CrossRef
  14. Ciria-Suarez L, Costas L, Flix-Valle A, Serra-Blasco M, Medina JC, Ochoa-Arnedo C. A Digital Cancer Ecosystem to Deliver Health and Psychosocial Education as Preventive Intervention. Cancers 2022;14(15):3724
    CrossRef
  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
    CrossRef
  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
    CrossRef
  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)
    CrossRef
  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
    CrossRef
  19. Szamreta EA, 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
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/cancer.9050):

  1. Giyahchi T, Singh S, Harris I, Pechmann C. Multimodal AI in Healthcare. 2023. Chapter 5:59
    CrossRef