Data mining analysis of professor Qiu Changlin's Chinese Medicinal therapy for Parkinson's disease

Abstract

Abstract Background Parkinson's disease (PD) is a prevalent, progressive neurodegenerative disease that has been widely treated using dopamine replacement therapy. However, this therapy does not prevent the progressive loss of dopaminergic neurons in the substantia nigra pars compacta. Clinical experience has shown that Chinese medicines (CMs) can alleviate the side effects of Western medicines for PD and improve the quality of life of patients. Objective This paper describes the collection and analysis of Professor Qiu Changlin's decoctions for PD and proposes new ideas on the Law of CM Clinical Formula Administration and Syndrome Differentiation of PD. Methods A database of Professor Qiu's prescriptions for PD patients of Zhejiang Provincial Hospital of Chinese Medicine over 5 years (January 2018 to May 2022) was established and analyzed using Microsoft Excel 2019 and SPSS Modeler 22.0. Results Frequency analysis of 1162 prescriptions comprising 232 CMs revealed 17 high‐frequency CMs, including Shu Di Huang (Rehmanniae Radix Praeparata) and Chao Bai Shao (Paeoniae Radix Alba), and correlations among the CMs. The property (nature) of these CMs is warm, and the flavors are mainly bitter, sweet, and sour. Most enter the liver meridian. Based on cluster analysis, we obtained a core effective prescription that mainly comprises Tian Ma, Gou Teng Yin and Zuo Gui Wan. Conclusion The core effective prescription is expected to inspire new ideas for the administration of CM clinical formulas and syndrome differentiation in PD.

Keywords

• administration law of Chinese medicine
• data mining
• machine learning model
• PD
• traditional Chinese medicine (TCM) neurology