Quantification of prevalence, clinical characteristics, co-existence, and geographic variations of traditional Chinese medicine diagnostic patterns via latent tree analysis-based differentiation rules among functional dyspepsia patients.
Leonard HoYulong XuNevin L ZhangFai Fai HoIrene X Y WuShuijiao ChenXiaowei LiuCharlene H L WongJessica Y L ChingPui Kuan CheongWing Fai YeungJustin C Y WuVincent C H ChungPublished in: Chinese medicine (2022)
Future updates of the ICD, textbooks, and guidelines should emphasise the importance of clinical and geographical variations in TCM diagnosis. Location-specific pattern differentiation rules should be derived from local data using LTA. In future, patients' pattern differentiation results, local prevalence of TCM diagnostic patterns, and corresponding TCM treatment choices should be accessible to practitioners on online clinical decision support systems to streamline service delivery.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- clinical decision support
- prognostic factors
- healthcare
- risk factors
- primary care
- electronic health record
- machine learning
- health information
- patient reported outcomes
- social media
- big data
- artificial intelligence
- smoking cessation
- patient reported