Exploring patient experiences and concerns in the online Cochlear Implant community: a cross-sectional study and validation of automated topic modelling.
Christopher Y K WilliamsRosia X LiMichael Y LuoSusan T EitutisPublished in: Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery (2023)
This cross-sectional study of social media discussions amongst the online cochlear implant community identified common attitudes, experiences and concerns of patients living with, or seeking, a cochlear implant. Our validation of natural language processing methods to categorise topics shows that automated analysis of similar Otolaryngology-related content is a viable and accurate alternative to manual qualitative approaches. This article is protected by copyright. All rights reserved.
Keyphrases
- social media
- mental health
- health information
- end stage renal disease
- machine learning
- healthcare
- deep learning
- high throughput
- ejection fraction
- chronic kidney disease
- newly diagnosed
- autism spectrum disorder
- physical activity
- prognostic factors
- case report
- peritoneal dialysis
- systematic review
- high resolution
- risk factors
- clinical evaluation