Social Media Insights Into Disease Burden in Patients and Caregivers of Myelodysplastic Syndrome: Subcohort Analysis of High-Risk Patients
The application of sophisticated natural language processing techniques demonstrates promise in effectively identifying the emerging complex themes and sentiments experienced by HR-MDS users, thereby highlighting the unmet needs, barriers, and facilitators associated with the disease.
Authors
- Cosmina S. Hogea (ORCID: https://orcid.org/0000-0002-0686-2395)
- Rico Calara
- Sandra Couturiaux
- Rohit Marwah
- Benjamin Gross (ORCID: https://orcid.org/0009-0008-5811-8016)
- Eduardo Jose Sabate Estrella
- S. K. Mishra
Institutions
- CCL Industries (United States) (US)
- Gilead Sciences (United States) (US)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-06-02
- DOI
- https://doi.org/10.2196/65460
- Citations
- 1
- Primary Topic
- Gestational Trophoblastic Disease Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.88