Published on 15.05.18 in Vol 4, No 1 (2018): Jan-Jun
Works citing "Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval"
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)
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Hargreaves S, Bath PA. Online Health Forums: The Role of Online Support for People Living with Breast Cancer. Breast Cancer Management 2019;8(2)
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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
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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
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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
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Hirschey R, Bryant AL, Walker JS, Nolan TS. Systematic Review of Video Education in Underrepresented Minority Cancer Survivors. Cancer Nursing 2020;43(4):259
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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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
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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)
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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
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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
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Suarez NRE, Morrow AS, LaVecchia CM, Dugas M, Carnovale V, Maraboto A, Leon-Garcia M, Lucar M, Hasset LC, Diallo TT, 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;
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According to Crossref, the following books are citing this article (DOI 10.2196/cancer.9050):
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Giyahchi T, Singh S, Harris I, Pechmann C. Multimodal AI in Healthcare. 2023. Chapter 5:59
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