Predicting Coupled Herbs for the Treatment of Hypertension Complicated with Coronary Heart Disease in Real-World Data Based on a Complex Network and Machine Learning

<div>Overview of herb screening: first, we used the hierarchical extraction algorithm to analyze the core herbs from the prescription database. Second, we obtained the features of the coupled herbs from a public database. Finally, we input the features into the machine learning model to obtain 70 main coupled herbs.</div>

Evidence-Based Complementary and Alternative Medicine

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Figure 1: Predicting Coupled Herbs for the Treatment of Hypertension Complicated with Coronary Heart Disease in Real-World Data Based on a Complex Network and Machine Learning 

Figure 1 | Predicting Coupled Herbs for the Treatment of Hypertension Complicated with Coronary Heart Disease in Real-World Data Based on a Complex Network and Machine Learning 