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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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NIAID Data Ecosystem2026-05-10 收录
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https://data.mendeley.com/datasets/cfm5kypbf7
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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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2026-01-02
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