Quantitative characterization of miasmatic states in homeopathy by multi-method research: Insights into diagnostic complexity and emergence of the continuous spectral model of miasmatic fingerprints
Published: 2 January 2026| Version 1 | DOI: 10.17632/cfm5kypbf7.1
Contributors:
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This study empirically validates chronic miasms in homeopathy as continuous spectral states rather than discrete categories, using the Systematic Miasm Assessment Tool (SMAT) on 931 chronic patients to reveal 74.7% mixed constitutions via Fuzzy C-Means clustering and weak physician-score alignment (η = 0.066-0.350). Soft-clustering (GMM/GoM) confirmed hybrid transitions, while hard partitioning failed (silhouette width 0.239), with sycosis/syphilis quantitative loads strongly predicting ORIDL success (OR = 1.41-2.21; 64.4% responders) over categorical diagnoses (κ = 0.161). SMAT enables precision fingerprinting akin to genomic/epigenetic continua, advancing prognosis and prescribing; multicenter studies are needed.
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Institutions
- West Bengal University of Health Sciences
Categories
Fuzzy Set, Clustering, Homeopathy, Application Tool