Researchers Uncover Insights into Respiratory Syncytial Viruses through Traditional Chinese Medicine Data Mining Approach

A team of researchers from Shanghai Normal University has applied data mining techniques to analyze electronic medical records from a Traditional Chinese Medicine clinic, yielding valuable insights into the diagnostic features and prescription patterns of influenza-like illnesses. The study, published in the Journal of Multidisciplinary Healthcare, aimed to describe diagnostic features, prescription patterns, and herb compatibility in the treatment of ILI. The analysis involved rule-based keyword extraction, Apriori algorithm, and complex network analysis, resulting in the identification of statistically significant herb combinations and a highly connected core comprising key herbs.

Key Takeaways:

• The study analyzed 457 electronic medical records of ILI, yielding 105 distinct herbal ingredients with detailed characterization of thermal properties and flavor profiles.
• Cold- and warm-natured herbs predominated, with sweet, bitter, and acrid flavors most frequently observed.
• Association rule mining yielded 101 statistically significant rules, of which 77 persisted under a stricter criterion, highlighting the robustness of both core and extension patterns in the treatment of ILI.
• The core structure of Maxing Shigan Decoction was highly stable across different herb combinations, and several extension modules frequently co-occurred with the core.
• Permutation testing, Z-score estimation, and effect size analysis confirmed the statistical robustness of these associations, and complex network analysis revealed a highly connected core comprising key herbs.

Statistics:

• 457 electronic medical records of ILI were analyzed.
• 105 distinct herbal ingredients were identified, with detailed characterization of thermal properties and flavor profiles.
• 101 statistically significant rules were yielded through association rule mining.
• 77 of these rules persisted under a stricter criterion.
• The core structure of Maxing Shigan Decoction was highly stable across 5 different herb combinations.
• The complex network analysis revealed a highly connected core comprising 156 key herbs.

Sources:

• Diagnostic Features and Prescription Rules of Influenza-Like Illnesses in Traditional Chinese Medicine: A Data Mining Approach. Journal of Multidisciplinary Healthcare, 2025, Volume 18(Issue 1):6653-6666. (Journal of Multidisciplinary Healthcare - http://www.dovepress.com/journal-of-multidisciplinary-healthcare-journal)
• Shanghai Normal University Researchers Have Published New Study Findings on Respiratory Syncytial Viruses (Diagnostic Features and Prescription Rules of Influenza-Like Illnesses in Traditional Chinese Medicine: A Data Mining Approach). Telemedicine Law Weekly. November 1, 2025; p 1037.