Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions.
Anne Xuan-Lan NguyenXuan-Vi TrinhSophia Y WangAlbert Y WuPublished in: Journal of medical Internet research (2021)
This report allows physicians and researchers to efficiently mine and perform sentiment analysis on social media to better understand patients' perspectives and promote patient-centric care. Important factors to be considered during its application include evaluating the scope of the search; selecting search terms and understanding their linguistic usages; and establishing selection, filtering, and processing criteria for posts and keywords tailored to the desired results.
Keyphrases
- social media
- health information
- healthcare
- end stage renal disease
- case report
- ejection fraction
- primary care
- chronic kidney disease
- newly diagnosed
- palliative care
- mental health
- autism spectrum disorder
- peritoneal dialysis
- prognostic factors
- smoking cessation
- artificial intelligence
- patient reported outcomes
- quality improvement
- mass spectrometry
- molecularly imprinted
- chronic pain
- patient reported
- health promotion