Using Natural Language Processing and Social Media Data to Understand the Lived Experience of People with Fibromyalgia
We developed a comprehensive, large-scale study which emphasizes advanced natural language processing algorithm application in real-world research design. Through the extensive encapsulation of patient perspectives, we outlined the habitual symptoms, triggers and treatment modalities which provide a durable foundation for addressing gaps in healthcare provision.
Authors
- Ronald R. Butendieck
- Sehreen Mumtaz (ORCID: https://orcid.org/0000-0002-1015-1633)
- Reena Yaman (ORCID: https://orcid.org/0000-0001-9047-6173)
- Lisa Balistreri (ORCID: https://orcid.org/0009-0008-4070-6557)
- Anushka Soni (ORCID: https://orcid.org/0000-0002-7831-4208)
- Lucy Bell
- Beth Fordham
Institutions
- Nuffield Orthopaedic Centre (GB)
- University of Oxford (GB)
- Mayo Clinic in Florida (US)
- Thomas Swan (United Kingdom) (GB)
Publication Details
- Journal
- Healthcare
- Published
- 2024-12-11
- DOI
- https://doi.org/10.3390/healthcare12242511
- Citations
- 3
- Primary Topic
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Type
- article
- Field-Weighted Citation Impact
- 1.16