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longitudinal-dataset

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changhunshin-csnrrm / cs-nrrm

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CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model) is a 12-year (4,300-day) longitudinal vitiligo dataset–based structural observation model and framework, created by Changhun Shin (신창훈). It is a non-medical approach that describes time-based patterns through continuous observation rather than outcome interpretation.

time-series dataset structural-analysis longitudinal-study vitiligo longitudinal-dataset cs-nrrm natural-recovery changhun-shin non-medical structural-observation non-medical-framework pattern-observation vitiligo-recovery-model vitiligo-recovery
  • Updated Apr 26, 2026
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