A biostatistical approach to ayurveda: quantifying the tridosha

Area of Science:

• Ayurveda
• Alternative Medicine
• Biostatistics

Background:

• Ayurveda, an ancient Indian science, relies on the concept of tridosha (vata, pitta, kapha) for diagnosis and treatment.
• Quantitative analysis is needed to validate and integrate Ayurvedic principles with modern scientific methods.

Purpose of the Study:

• To compute quantitative estimates of the tridosha for biostatistical analysis.
• To establish a scientific basis for Ayurveda as a field of alternative medicine.

Main Methods:

• An algorithmic heuristic approach was applied to qualitative features used by Ayurvedic doctors.
• Regression modeling utilized knowledge-based worth coefficients and fuzzy multiattribute decision functions.
• Data collected from 280 individuals at Brahmvarchas Research Centre and Shantikunj.

Main Results:

• Quantitative measures for vata, pitta, and kapha levels were obtained.
• Statistical validation demonstrated high accuracy (confidence level >90%).
• Estimates are suitable for diagnostic, prognostic, and drug-response analyses.

Conclusions:

• The study provides empirical evidence supporting the concept of tridosha.
• This quantitative approach facilitates the scientific establishment of Ayurveda.
• Potential applications include drug efficacy studies and exploring connections with acupuncture.