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Citing this Article

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Published on 31.07.17 in Vol 5, No 3 (2017): Jul-Sept

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

Works citing "What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer"

Mike Donald Tapi Nzali, Sandra Bringay, Christian Lavergne, Caroline Mollevi, Thomas Opitz

JMIR Med Inform 2017 (Jul 31); 5(3):e23 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7779):

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

  1. Foufi V, Timakum T, Gaudet-Blavignac C, Lovis C, Song M. Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations. Journal of Medical Internet Research 2019;21(6):e12876
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  2. Abdellaoui R, Foulquié P, Texier N, Faviez C, Burgun A, Schück S. Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach. Journal of Medical Internet Research 2018;20(3):e85
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  3. Shah AM, Yan X, Tariq S, Khan S. Listening to the patient voice: using a sentic computing model to evaluate physicians’ healthcare service quality for strategic planning in hospitals. Quality & Quantity 2021;55(1):173
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  4. Badenes-Olmedo C, Redondo-García JL, Corcho O, Kauppinen T, Garijo D, Villanueva N, Villanueva-Rosales N. Large-scale semantic exploration of scientific literature using topic-based hashing algorithms. Semantic Web 2020;11(5):735
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  5. Hanna A, Hanna L. Topic Analysis of UK Fitness to Practise Cases: What Lessons Can Be Learnt?. Pharmacy 2019;7(3):130
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  6. Tapi Nzali MD, Aze J, Bringay S, Lavergne C, Mollevi C, Optiz T. Reconciliation of patient/doctor vocabulary in a structured resource. Health Informatics Journal 2019;25(4):1219
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  7. Cotté F, Voillot P, Bennett B, Falissard B, Tzourio C, Foulquié P, Gaudin A, Lemasson H, Grumberg V, McDonald L, Faviez C, Schück S. Exploring the Health-Related Quality of Life of Patients Treated With Immune Checkpoint Inhibitors: Social Media Study. Journal of Medical Internet Research 2020;22(9):e19694
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  8. Nasralah T, El-Gayar O, Wang Y. Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis. Journal of Medical Internet Research 2020;22(8):e18350
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  9. Tran BX, Latkin CA, Sharafeldin N, Nguyen K, Vu GT, Tam WWS, Cheung N, Nguyen HLT, Ho CSH, Ho RCM. Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis. JMIR Medical Informatics 2019;7(4):e14401
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  10. Chen X, Faviez C, Schuck S, Lillo-Le-Louët A, Texier N, Dahamna B, Huot C, Foulquié P, Pereira S, Leroux V, Karapetiantz P, Guenegou-Arnoux A, Katsahian S, Bousquet C, Burgun A. Mining Patients' Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate. Frontiers in Pharmacology 2018;9
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  11. Zolnoori M, Balls-Berry JE, Brockman TA, Patten CA, Huang M, Yao L. A Systematic Framework for Analyzing Patient-Generated Narrative Data: Protocol for a Content Analysis. JMIR Research Protocols 2019;8(8):13914
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  12. Ure C, Cooper-Ryan AM, Condie J, Galpin A. Exploring Strategies for Using Social Media to Self-Manage Health Care When Living With and Beyond Breast Cancer: In-Depth Qualitative Study. Journal of Medical Internet Research 2020;22(5):e16902
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  13. Dumas A, Lapointe A, Desroches S. Users, Uses, and Effects of Social Media in Dietetic Practice: Scoping Review of the Quantitative and Qualitative Evidence. Journal of Medical Internet Research 2018;20(2):e55
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  14. van Eenbergen MC, van de Poll-Franse LV, Krahmer E, Verberne S, Mols F. Analysis of Content Shared in Online Cancer Communities: Systematic Review. JMIR Cancer 2018;4(1):e6
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  15. Lee YJ, Kamen C, Margolies L, Boehmer U. Online health community experiences of sexual minority women with cancer. Journal of the American Medical Informatics Association 2019;26(8-9):759
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  16. Schäfer F, Faviez C, Voillot P, Foulquié P, Najm M, Jeanne J, Fagherazzi G, Schück S, Le Nevé B. Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study. Journal of Medical Internet Research 2020;22(11):e17247
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  17. Huang M, ElTayeby O, Zolnoori M, Yao L. Public Opinions Toward Diseases: Infodemiological Study on News Media Data. Journal of Medical Internet Research 2018;20(5):e10047
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  18. Petersen CL, Halter R, Kotz D, Loeb L, Cook S, Pidgeon D, Christensen BC, Batsis JA. Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study. JMIR mHealth and uHealth 2020;8(8):e16862
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  19. . Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  20. Sanders C, Nahar P, Small N, Hodgson D, Ong BN, Dehghan A, Sharp CA, Dixon WG, Lewis S, Kontopantelis E, Daker-White G, Bower P, Davies L, Kayesh H, Spencer R, McAvoy A, Boaden R, Lovell K, Ainsworth J, Nowakowska M, Shepherd A, Cahoon P, Hopkins R, Allen D, Lewis A, Nenadic G. Digital methods to enhance the usefulness of patient experience data in services for long-term conditions: the DEPEND mixed-methods study. Health Services and Delivery Research 2020;8(28):1
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  21. Yin Z, Sulieman LM, Malin BA. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association 2019;26(6):561
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  22. 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
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  23. Han X, Robinson LA, Jensen RE, Smith TG, Yabroff KR. Factors Associated With Health-Related Quality of Life Among Cancer Survivors in the United States. JNCI Cancer Spectrum 2021;5(1)
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  24. Al-Ramahi M, Elnoshokaty A, El-Gayar O, Nasralah T, Wahbeh A. Public Discourse Against Masks in the COVID-19 Era: Infodemiology Study of Twitter Data. JMIR Public Health and Surveillance 2021;7(4):e26780
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  25. Schück S, Roustamal A, Gedik A, Voillot P, Foulquié P, Penfornis C, Job B. Assessing Patient Perceptions and Experiences of Paracetamol in France: Infodemiology Study Using Social Media Data Mining. Journal of Medical Internet Research 2021;23(7):e25049
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  26. Fairie P, Zhang Z, D'Souza AG, Walsh T, Quan H, Santana MJ. Categorising patient concerns using natural language processing techniques. BMJ Health & Care Informatics 2021;28(1):e100274
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  27. Harrison CJ, Sidey-Gibbons CJ. Machine learning in medicine: a practical introduction to natural language processing. BMC Medical Research Methodology 2021;21(1)
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  28. den Hollander D, Dirkson AR, Verberne S, Kraaij W, van Oortmerssen G, Gelderblom H, Oosten A, Reyners AKL, Steeghs N, van der Graaf WTA, Desar IME, Husson O. Symptoms reported by gastrointestinal stromal tumour (GIST) patients on imatinib treatment: combining questionnaire and forum data. Supportive Care in Cancer 2022;30(6):5137
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  29. 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
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  30. Koss J, Rheinlaender A, Truebel H, Bohnet-Joschko S. Social media mining in drug development—Fundamentals and use cases. Drug Discovery Today 2021;26(12):2871
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  31. Monuszko KA, Fish LJ, Sparacio D, Lizaso C, Burn K, Wickenheisser NE, Meyer LA, Reed SD, Davidson BA, Havrilesky LJ. Understanding the needs and perspectives of ovarian cancer patients when considering PARP inhibitor maintenance therapy: Findings from two online community events. Gynecologic Oncology Reports 2022;43:101050
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  32. Lathan HS, Kwan A, Takats C, Tanner JP, Wormer R, Romero D, Jones HE. Ethical considerations and methodological uses of Facebook data in public health research: A systematic review. Social Science & Medicine 2023;322:115807
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  33. Kaur M, Costello J, Willis E, Kelm K, Reformat MZ, Bolduc FV. Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing. Journal of Medical Internet Research 2022;24(8):e39888
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  34. Kalf RRJ, Delnoij DMJ, Ryll B, Bouvy ML, Goettsch WG. Information Patients With Melanoma Spontaneously Report About Health-Related Quality of Life on Web-Based Forums: Case Study. Journal of Medical Internet Research 2021;23(12):e27497
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  35. Phang YC, Kassim AM, Mangantig E. Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media. Healthcare Informatics Research 2021;27(3):200
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  36. 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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  37. Lee YJ, Park A, Roberge M, Donovan H. What Can Social Media Tell Us About Patient Symptoms. Cancer Nursing 2022;45(1):E27
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  38. Nunes DAP, Ferreira-Gomes J, Neto F, Martins de Matos D. Modeling Chronic Pain Experiences from Online Reports Using the Reddit Reports of Chronic Pain Dataset. Information 2023;14(4):237
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  39. Chichua M, Filipponi C, Mazzoni D, Pravettoni G, Abe T. The emotional side of taking part in a cancer clinical trial. PLOS ONE 2023;18(4):e0284268
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  40. Pelletier K, Zimmerli V. Cancer Types: Their Social Media Coverage, Incidence and Distortion in French-Speaking Countries of the West*. Health & New Media Research 2021;5(2):190
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  41. Ardalani A, Daneshvar M. WLCD: a dataset of lifestyle in relation with women’s cancer. BMC Research Notes 2023;16(1)
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  42. Ramamoorthy T, Mappillairaju B. Tweet topics on cancer among Indian Twitter users—computational approach using latent Dirichlet allocation topic modelling. Journal of Computational Social Science 2023;6(2):1033
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  43. Aristokleous I, Karakatsanis A, Masannat YA, Kastora SL. The Role of Social Media in Breast Cancer Care and Survivorship: A Narrative Review. Breast Care 2023;18(3):193
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  44. Shah AM, Lee KY, Hidayat A, Falchook A, Muhammad W. A text analytics approach for mining public discussions in online cancer forum: Analysis of multi-intent lung cancer treatment dataset. International Journal of Medical Informatics 2024;184:105375
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  45. Ramamoorthy T, Kulothungan V, Mappillairaju B. Topic modeling and social network analysis approach to explore diabetes discourse on Twitter in India. Frontiers in Artificial Intelligence 2024;7
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  46. Cimiano P, Collins B, De Vuono MC, Escudier T, Gottowik J, Hartung M, Leddin M, Neupane B, Rodriguez-Esteban R, Schmidt AL, Starke-Knäusel C, Voorhaar M, Wieckowski K. Patient listening on social media for patient-focused drug development: a synthesis of considerations from patients, industry and regulators. Frontiers in Medicine 2024;11
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.7779):

  1. Kamaruddin SS, Ahmad FK, Taiye MA. Recent Advances in Soft Computing and Data Mining. 2022. Chapter 14:140
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  2. Usharani B, Goyal LM. Predictive Analytics of Psychological Disorders in Healthcare. 2022. Chapter 13:253
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