Diagnostic traditional medicine criteria of Covid-19 by using a latent tree model

Objectives: Until now, the guideline of Vietnam Ministry Health and several pieces research have confirmed effectiveness traditional medicine in managing Covid-19, especially for mild levels. However, on differentiating disease patterns Covid-19 to systemise diagnosis treatment has not been implemented. Thence, this study aimed establish diagnostic criteria clinical forms using latent tree models (LTMs). Materials methods: Stage 1: Conduct studies classic medical documents, textbooks monographs medicine, make questionnaires observe symptoms patients at a stage. 2: Choosing investigating stage by inclusion criteria. A 65-question survey was used investigate 438 Ho Chi Minh city Traditional Medicine Hospital, then included data were analysed model. Results: Literature review exhibited 10 documents (5 5 textbooks) with content related Covid-19. After modelling, 21 variables (Y0 Y20) established, referring groups symptom variables. According ve - khi dinh huyet theory, 2 are matching literature: Ve-area pattern Khi-area pattern. Conclusions: The model analysis pointed out stage, including