3.3.3 Model interpretation
Construct the S HAP value variable importance map (Figure 9A) of the
prediction model, which includes a total of 5 features, sorted according
to their influence on the level of TNF-α, the higher the absolute value
of SHAP value, the greater the effect on TNF-α powerful. The results
showed that the characteristics of ”Type of disease”, ”Animal species”
and ”Dose” had a higher contribution to the improvement of TNF-α level
(Figure 10). In the constructed SHAP value summary graph, the higher the
SHAP value corresponding to a feature, the greater the risk of
increasing TNF-α improvement level, and vice versa. In addition, the
color of the point represents the improvement rate of TNF-α, and the
darker the color, the better the effect. The results showed that, among
the categorical variables, for respiratory, urinary, neurological and
digestive diseases included in the ”type of disease” feature, icariin
and its derivatives had a more positive effect on the TNF-α efficacy of
these systemic diseases compared with the baseline values. Meanwhile,
”Wister mice” and ”BALB/c mice”, as species in the ”Animal species”
characterization, contributed more to the TNF-α efficacy compared with
the baseline values. And ”female” as a variable in the ”sex”
characteristic was also beneficial in improving the efficacy. (Figure
10B). As for continuous variables, when the ”course” was greater than
31.22 days or the ”dose” was greater than 27.52 mg/kg/day, icariin and
its derivatives contributed more positively to the rate of improvement
in TNF-alpha compared to baseline values (Figure 10C).