Method for determining dose-effect of traditional Chinese medicine compound on basis of variable importance in projection
An importance and projection technology, which is applied in the field of determining the dose-response of traditional Chinese medicine compound prescriptions and giving clinical recommended dose thresholds based on variable importance projection analysis.
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Embodiment 1
[0051] A method for determining the dosage and effect of the whole prescription of Dachengqi Decoction based on variable importance projection analysis, the steps are as follows:
[0052] (1) VIP analysis of the variable projection importance index;
[0053] (1.1) Calculation method selection:
[0054] According to the experiment of Dachengqi Decoction entering the blood and drug efficacy indicators in the treatment of intestinal obstruction, inject the whole formula of Dachengqi Decoction into mice, observe the changes of the medicine in the blood, and determine the amount of change. In the prescription experiment, experts in traditional Chinese medicine provided 9 independent variables X and 3 dependent variables Y in the known experimental data. According to the Pearson correlation coefficient formula, the correlation coefficient between variables was calculated and drawn into a matrix correlation coefficient heatmap, see figure 1 ;
[0055] figure 1 Middle: The closer ...
Embodiment 2
[0107] A method for determining the dose-effect of the whole prescription of Gegen Qinlian Decoction based on variable importance projection analysis, the steps are as follows:
[0108] (1) Analysis of variable projection importance indicators;
[0109] (1.1) Calculation method selection:
[0110] According to the blood-entering components and efficacy indexes of Gegen Qinlian Decoction in the treatment of ulcerative colitis experiment, the whole prescription of Gegen Qinlian Decoction was injected into mice, and the changes of the medicine in the blood were observed to determine the changed amount. In the Gegen Qinlian Decoction whole recipe experiment, Chinese medicine experts provided 4 independent variables X and 5 dependent variables Y in the known experimental data, and the mutual correlation coefficient was calculated according to the Pearson correlation coefficient formula and plotted as a matrix correlation coefficient heat map, see Figure 9 .
[0111] Figure 9 ...
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