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

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Authors: Anupam Das, Tanmoy Sarkar, Shiladitya Dalui, Rajarshi Mallick Choudhury, Pinki Das, Beena Das, Pulakendu Bhattacharya, Satyajit Naskar, Subhasish Ganguly, Sangita Saha, Shibaji Panda, Subhranil Saha
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Abstract

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.

Publication details

Journal / source
Mendeley Data
Publication date
2 January 2026
Document type
Dataset