Web search trends on fibromyalgia: development of a machine learning model
Understanding online search behaviour can enhance FM education. Targeted awareness campaigns and improved digital health literacy initiatives could sustain engagement and improve patient knowledge. Future efforts should focus on optimising online health resources and integrating evidence-based decision aids.
Authors
- Martina Rekatsina (ORCID: https://orcid.org/0000-0002-7671-4056)
- Fabiola Atzeni (ORCID: https://orcid.org/0000-0002-9328-3075)
- Giustino Varrassi (ORCID: https://orcid.org/0000-0002-3822-2923)
- Marco Cascella (ORCID: https://orcid.org/0000-0002-5236-3132)
- Antonella Paladini (ORCID: https://orcid.org/0000-0002-1219-9315)
- Alberto Pasqualucci
- Fausto Salaffi
- Piercarlo Sarzi‐Puttini (ORCID: https://orcid.org/0000-0002-8673-5133)
- Matteo Luigi Giuseppe Leoni (ORCID: https://orcid.org/0000-0001-5228-3733)
- Laura Bazzichi
- Marco Mercieri (ORCID: https://orcid.org/0000-0003-4321-6525)
Institutions
- University of Messina (IT)
- Marche Polytechnic University (IT)
- University of Salerno (IT)
- National and Kapodistrian University of Athens (GR)
- University of L'Aquila (IT)
- University of Perugia (IT)
- Fondazione Roma (IT)
- Istituto Clinico Sant'Ambrogio (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- Clinical and Experimental Rheumatology
- Published
- 2025-04-25
- DOI
- https://doi.org/10.55563/clinexprheumatol/05r0ib
- Citations
- 1
- Primary Topic
- Safety Warnings and Signage
- Type
- article
- Field-Weighted Citation Impact
- 2.44