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

Natural Language Processing (706) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Infodemiology and Infoveillance (1369) New Methods (963) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Methods in Cancer Research (31) Machine Learning (1501)

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

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

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

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

Authors of this article:

Mike Donald Tapi Nzali1, 2 Author Orcid Image ;   Sandra Bringay2, 3 Author Orcid Image ;   Christian Lavergne1, 3 Author Orcid Image ;   Caroline Mollevi4 Author Orcid Image ;   Thomas Opitz5 Author Orcid Image
Article Authors Cited by (53) Tweetations (10) Metrics

Journals

  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 View
  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 View
  3. Shah A, 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 View
  4. Badenes-Olmedo C, Redondo-García J, 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 View
  5. Hanna A, Hanna L. Topic Analysis of UK Fitness to Practise Cases: What Lessons Can Be Learnt?. Pharmacy 2019;7(3):130 View
  6. Tapi Nzali M, 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 View
  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 View
  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 View
  9. Tran B, Latkin C, Sharafeldin N, Nguyen K, Vu G, Tam W, Cheung N, Nguyen H, Ho C, Ho R. Characterizing Artificial Intelligence Applications in Cancer Research: A Latent Dirichlet Allocation Analysis. JMIR Medical Informatics 2019;7(4):e14401 View
  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 View
  11. Zolnoori M, Balls-Berry J, Brockman T, Patten C, 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 View
  12. Ure C, Cooper-Ryan A, 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 View
  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 View
  14. van Eenbergen M, van de Poll-Franse L, Krahmer E, Verberne S, Mols F. Analysis of Content Shared in Online Cancer Communities: Systematic Review. JMIR Cancer 2018;4(1):e6 View
  15. Lee Y, 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 View
  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 View
  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 View
  18. Petersen C, Halter R, Kotz D, Loeb L, Cook S, Pidgeon D, Christensen B, Batsis J. 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 View
  19. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206 View
  20. Sanders C, Nahar P, Small N, Hodgson D, Ong B, Dehghan A, Sharp C, Dixon W, 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 View
  21. Yin Z, Sulieman L, Malin B. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association 2019;26(6):561 View
  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 View
  23. Han X, Robinson L, Jensen R, Smith T, Yabroff K. Factors Associated With Health-Related Quality of Life Among Cancer Survivors in the United States. JNCI Cancer Spectrum 2021;5(1) View
  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 View
  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 View
  26. Fairie P, Zhang Z, D'Souza A, Walsh T, Quan H, Santana M. Categorising patient concerns using natural language processing techniques. BMJ Health & Care Informatics 2021;28(1):e100274 View
  27. Harrison C, Sidey-Gibbons C. Machine learning in medicine: a practical introduction to natural language processing. BMC Medical Research Methodology 2021;21(1) View
  28. den Hollander D, Dirkson A, Verberne S, Kraaij W, van Oortmerssen G, Gelderblom H, Oosten A, Reyners A, Steeghs N, van der Graaf W, Desar I, 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 View
  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 View
  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 View
  31. Monuszko K, Fish L, Sparacio D, Lizaso C, Burn K, Wickenheisser N, Meyer L, Reed S, Davidson B, Havrilesky L. 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 View
  32. Lathan H, Kwan A, Takats C, Tanner J, Wormer R, Romero D, Jones H. Ethical considerations and methodological uses of Facebook data in public health research: A systematic review. Social Science & Medicine 2023;322:115807 View
  33. Kaur M, Costello J, Willis E, Kelm K, Reformat M, Bolduc F. 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 View
  34. Kalf R, Delnoij D, Ryll B, Bouvy M, Goettsch W. 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 View
  35. Phang Y, Kassim A, 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 View
  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 View
  37. Lee Y, Park A, Roberge M, Donovan H. What Can Social Media Tell Us About Patient Symptoms. Cancer Nursing 2022;45(1):E27 View
  38. Nunes D, 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 View
  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 View
  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 View
  41. Ardalani A, Daneshvar M. WLCD: a dataset of lifestyle in relation with women’s cancer. BMC Research Notes 2023;16(1) View
  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 View
  43. Aristokleous I, Karakatsanis A, Masannat Y, Kastora S. The Role of Social Media in Breast Cancer Care and Survivorship: A Narrative Review. Breast Care 2023;18(3):193 View
  44. Shah A, Lee K, 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 View
  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 View
  46. Cimiano P, Collins B, De Vuono M, Escudier T, Gottowik J, Hartung M, Leddin M, Neupane B, Rodriguez-Esteban R, Schmidt A, 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 View
  47. Gouy G, Attali L, Voillot P, Fournet P, Agostini A. Experiences of Women With Medical Abortion Care Reflected in Social Media (VEILLE Study): Noninterventional Retrospective Exploratory Infodemiology Study. JMIR Infodemiology 2024;4:e49335 View
  48. Ramamoorthy T, Kulothungan V, Mappillairaju B. Exploring stroke discourse on Twitter through content and network analysis among Indian users. Scientific Reports 2024;14(1) View
  49. Pinero de Plaza M, Hutchinson C, Beleigoli A, Tieu M, Lawless M, Conroy T, Feo R, Clark R, Dafny H, McMillan P, Allande‐Cussó R, Kitson A. The Caring Life Course Theory: Opening new frontiers in care—A cardiac rehabilitation example. Journal of Advanced Nursing 2024 View
  50. Watabe S, Watanabe T, Yada S, Aramaki E, Yajima H, Kizaki H, Hori S, Ekbal A. Exploring a method for extracting concerns of multiple breast cancer patients in the domain of patient narratives using BERT and its optimization by domain adaptation using masked language modeling. PLOS ONE 2024;19(9):e0305496 View
  51. Spies E, Flynn J, Oliveira N, Karmalkar P, Gurulingappa H. Artificial intelligence–enabled social media listening to inform early patient-focused drug development: perspectives on approaches and strategies. Frontiers in Digital Health 2024;6 View

Books/Policy Documents

  1. Kamaruddin S, Ahmad F, Taiye M. Recent Advances in Soft Computing and Data Mining. View
  2. Usharani B, Goyal L. Predictive Analytics of Psychological Disorders in Healthcare. View