Data Mining on Varieties, Therapeutic Uses and Medicinal Characteristics of Traditional Chinese Medicine Preparations for Treating Hair Loss

This study used R-language data mining to analyze patents of topical Chinese medicine for hair loss, identifying key medication patterns and ingredients in traditional formulations.

In this study, the researchers analyzed traditional Chinese medicine treatments for hair loss, concluding that conditions such as liver and kidney deficiencies contribute to alopecia and suggesting herbal treatments like Platycladus orientalis and Polygonum multiflorum for therapy.

This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.

This review discusses the therapeutic mechanisms of Traditional Chinese Medicine in treating alopecia but reports no new clinical results; the authors emphasize the need for more guided clinical application and research on herbal combinations.

This paper examines six famous traditional Chinese medicine prescriptions, exploring their use in treating alopecia based on Zhang Zhongjing's texts, and aims to provide new clinical treatment ideas for hair loss.