The Use of Traditional, Complementary, and Integrative Medicine in Cancer: Data-Mining Study of 1 Million Web-Based Posts From Health Forums and Social Media Platforms.
Chun Sing LamKeary ZhouHerbert Ho-Fung LoongVincent Chi-Ho ChungChun-Kit NganYin Ting CheungPublished in: Journal of medical Internet research (2023)
Using machine learning techniques, social media and health forums provide a valuable resource for patient-generated data regarding the pattern of use and patients' perceptions of TCIM. Such information will help clarify patients' needs and concerns and provide directions for research on integrating TCIM into cancer care. Our results also suggest that effective communication about TCIM should be achieved and that doctors should be more open-minded to actively discuss TCIM use with their patients.
Keyphrases
- social media
- end stage renal disease
- health information
- ejection fraction
- chronic kidney disease
- newly diagnosed
- healthcare
- prognostic factors
- squamous cell carcinoma
- mental health
- patient reported outcomes
- big data
- artificial intelligence
- young adults
- minimally invasive
- patient reported
- data analysis
- human health
- risk assessment