Elucidating medicinal-syndrome rules of Rhizoma Pinelliae in the Treatise on Cold Damage and italicMiscellaneous Diseases /italic（伤寒杂病论） based on data mining and the theory of correspondence between medicinals and syndromes

Key Points

• This research aims to explore the clinical medicinal-syndrome relationships of Rhizoma Pinelliae based on data mining techniques.
• Utilized the 'Shang Han Lun Inquiry APP V3.1' and second edition of 'Shang Han Lun' as data sources.
• Conducted frequency statistics, chi-square tests, clustering analysis, and correlation analysis using SPSS and R.
• Established a database of 62 classic formula entries with a focus on 44 symptoms and 12 pulse types.
• Identified significant symptoms linked to Rhizoma Pinelliae including vomiting (33 occurrences), fever (17), and chest fullness (11).
• Statistical analysis (P<0.05) indicated higher frequency of specific symptoms when using Rhizoma Pinelliae compared to others.
• Discovered 14 core association rules within the medicinal database and 30 in the compatibility database.