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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Information Seeking, Information Needs (465) Ontologies, Classifications, and Coding (239) Emotional, Social, Psychological Support for Cancer (194) Patient Education for Cancer (147)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18767, first published .
Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study

Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study

Using Social Media Data to Understand Consumers' Information Needs and Emotions Regarding Cancer: Ontology-Based Data Analysis Study

Authors of this article:

Jooyun Lee1 Author Orcid Image ;   Hyeoun-Ae Park2 Author Orcid Image ;   Seul Ki Park2 Author Orcid Image ;   Tae-Min Song3 Author Orcid Image
Article Authors Cited by (12) Tweetations (7) Metrics

Journals

  1. Lee J, Lee E. What topics are women interested in during pregnancy: exploring the role of social media as informational and emotional support. BMC Pregnancy and Childbirth 2022;22(1) View
  2. Wang Q, Li C. Evaluating risk propagation in renewable energy incidents using ontology-based Bayesian networks extracted from news reports. International Journal of Green Energy 2022;19(12):1290 View
  3. Li C, Ure C, Zheng W, Zheng C, Liu J, Zhou C, Jian B, Sun L, Li W, Xie L, Mai Y, Zhao H, Liu Y, Lai J, Fu J, Wu Y. Listening to voices from multiple sources: A qualitative text analysis of the emotional experiences of women living with breast cancer in China. Frontiers in Public Health 2023;11 View
  4. Motahari-Nezhad H. A systematic review of the available literature on the use of social media in brain tumor. Global Knowledge, Memory and Communication 2023 View
  5. Silva M, Eugénio P, Faria D, Pesquita C. Ontologies and Knowledge Graphs in Oncology Research. Cancers 2022;14(8):1906 View
  6. 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
  7. Renner S, Loussikian P, Foulquié P, Marrel A, Barbier V, Mebarki A, Schück S, Bharmal M. Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data. JMIR Cancer 2023;9:e45011 View
  8. Noh Y, Kim M, Hong S. Identification of Emotional Spectrums of Patients Taking an Erectile Dysfunction Medication: Ontology-Based Emotion Analysis of Patient Medication Reviews on Social Media. Journal of Medical Internet Research 2023;25:e50152 View
  9. Meksawasdichai S, Lerksuthirat T, Ongphiphadhanakul B, Sriphrapradang C. Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data. JMIR Cancer 2023;9:e48786 View
  10. Kim N, Lee N. Structural Topic Modeling Analysis of Patient Safety Interest among Health Consumers in Social Media. Journal of Korean Academy of Nursing 2024;54(2):266 View
  11. Abdul Aziz N, Ali M, Yunus N, Tobi S. Social Media Influence on Factors Affecting Quality of Life among Breast Cancer Survivors: A Conceptual Study. Information Management and Business Review 2024;16(3S(I)a):1 View

Books/Policy Documents

  1. Rao S, Vibha , Shitij , Kamath G, Rao S. ICT Infrastructure and Computing. View