Heterogeneous information network5/29/2023 ![]() The results from experiments on the Pharmacopoeia of the People’s Republic of China (ChP) demonstrate the effectiveness and accuracy of the proposed model for discovering useful categorizations of formulas. We integrate clustering with ranking in a heterogeneous information network. In this paper, we propose a novel structured learning model to solve the problem of formula regularity, a pivotal task in prescription optimization. ![]() Mining categorizations from TCM data is an important task for precision medicine. Through HINs, we can integrate and model the large-scale heterogeneous TCM data into structured graph data and use this as a basis for analysis. Heterogeneous information networks (HINs) are a kind of graphical model for integrating and modeling real-world information. The work of Chinese medicine is subject to the two factors of the inheritance and development of clinical experience of famous Chinese medicine practitioners and the difficulty in improving the service capacity of basic Chinese medicine practitioners. Traditional Chinese medicine (TCM) is a highly important complement to modern medicine and is widely practiced in China and in many other countries.
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