It is a common view that the integration of Chinese medicine (CM) and modern Western medicine is an efficient way to facilitate the development of CM. Integrative medicine is a kind of complex interventions. Scientific therapeutic evaluation plays a crucial role in making integrative medicine universally acknowledged. However, the modern method of clinical study, which is based on the concept of evidence-based medicine, mostly focuses on the population characteristics and single interventional factor. As a result, it is difficult for this method to totally adapt to the clinical features of CM and integrative medicine as complex interventions. One possible way to solve this issue is to improve and integrate with the existing method and to utilize the evaluation model on complex interventions from abroad. As an interdisciplinary technique, data mining involves database technology, artificial intelligence, machine learning, statistics, neural network and some other latest technologies, and has been widely used in the field of CM. Therefore, the application of data mining in the therapeutic evaluation of integrative medicine has broad prospects.