## 2 Materials and Methods
### Statistical Analysis  
All statistical analyses were performed by implementation using R 4.0.0 (Arbor Day) and applied to a significance level of \(\alpha=0.05\). Variables were summarized as the mean \(\pm\) standard deviation (SD) and percentage for continuous variables and categorical variables, respectively. To compare differences between the improvement group and the non-improvement group for SBP, an independent two-sample \(t\)-test and Fisher's exact test were performed for continuous variables and categorical variables, respectively. Analyses using the same methods as above for SBP were performed to compare differences between \begin{table}
\begin{tabular}{l l l} \hline \hline
**Model** & **Variables** & **Description** \\ \hline SBP-efficacy & FDV\_52\_50 & Vertical distance between 52 and 50 in a frontal face image \\  & FVV\_47\_52\_81\_50 & Vertical distance between 47 and 52/vertical distance between 81 and 50 in a frontal face image \\  & FVD\_81\_50\_94\_194 & Vertical distance between 81 and 50/distance between 94 and 194 in a frontal face image \\  & FVD\_81\_51\_94\_194 & Vertical distance between 81 and 51/distance between 94 and 194 in a frontal face image \\ \hline DBP-efficacy & BodyCenter\_a & The mean value of the CIE a* color at the center of the tongue body \\  & FurCenter\_a & The mean value of the CIE a* color at the center of the coated tongue \\  & FurRoot\_a & The mean value of the CIE a* color at the root of the coated tongue \\  & Tip\_a & The mean value of the CIE a* color at the tip of the tongue \\  & TotalRatio & Coated ratio of the tongue \\  & Q\_10 & Do you express or hide your opinions? \\  & Express & \\  & Moderate & \\  & Hide & \\ \hline TG-efficacy & FHD\_25\_125\_53\_153 & Horizontal distance between 25 and 125/distance between 53 and 153 in a frontal \\  & CILD\_a\_avg & Average value of a* (L*a*b* color space) in the lower left cheek region \\  & R83\_84 & Axillary-to-Chest circumference ratio \\  & sMFCC4 & 4 th coefficient of Mel-frequency cepstral coefficients \\  & Q\_23 & What does your excitement look like? Select an image that is closest in appearance. \\  & Sausage-shaped with a hard and & \\  & uneven surface & \\  & Sausage-shaped with cracks & \\  & Soft chocolate bar & \\  & Mushy pasta & \\  & Bits of gruel & \\ \hline HDL-efficacy & FHD\_33\_133\_43\_143 & Horizontal distance between 33 and 133/distance between 43 and 143 in a frontal face \\  & FA\_53\_94 & Angle between the line through 53 and 94 and a horizontal line in a frontal face image \\  & FA\_94\_43 & Angle between the line through 94 and 43 and a horizontal line in a frontal face image \\  & PA\_72\_73 & Angle between the line through 72 and 73 and a horizontal line in a frontal face image \\  & FHD\_43\_143\_94\_194 & Horizontal distance between 43 and 143/distance between 94 and 194 in a frontal \\  & ChRD\_L\_avg & Average value of L* (L*a*b* color space) in the lower right cheek region \\  & ChRD\_b\_avg & Average value of b* (L*a*b* color space) in the lower right cheek region \\  & Q\_5 & Are you an extrovert or introvert? \\  & Extrovert & \\  & Moderate & \\  & Introvert & \\  & Q\_6 & Are you energetic or quiet? \\  & Energetic & \\  & Moderate & \\  & Quiet & \\  & Q\_18 & How much do you perspire? \\  & A lot & \\  & Moderate & \\  & A little & \\  & None & \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Description of variable selection by the least absolute shrinkage and selection operator (LASSO) in each model. the improvement group and the non-improvement group for each metabolic risk, such as DBP, HDL cholesterol level, and triglyceride level. To investigate the association of the efficacy response to Taeumjowi-tang for metabolic risks with individual variables of face shape, colors of the face, body circumference, questionnaire, voice, and tongue color, binary logistic regressions were applied in crude form and after adjusting for age and BMI after standardization of data. Odds ratios are shown with 95% confidence intervals and \(p\)-values for each model.