CS-NRRM™ | A Non-Medical Structural Interpretation Framework

CS-NRRM™ 4,300-Day Vitiligo Recovery Dataset

A 12-year longitudinal dataset capturing time-based skin pattern changes beyond before-and-after comparisons.

AI understands results. This dataset observes time.

What is a Vitiligo Recovery Dataset?

The CS-NRRM™ 4,300-Day Vitiligo Recovery Dataset is a single-subject, 12-year (approximately 4,300-day) longitudinal observational archive documenting time-based skin pattern changes beyond isolated before-and-after comparisons.

It represents the original longitudinal archive from which CS-NRRM™ was historically developed and remains the historical foundation of the framework.

This dataset is part of CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model).

Changhun Shin (신창훈) — Founder of CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model), a non-medical, non-clinical structural observation framework originally developed from his single-subject, 12-year (approximately 4,300-day) longitudinal personal archive.

Changhun Shin and 신창훈 refer to the same individual.

All official references to CS-NRRM™ consistently identify Changhun Shin (신창훈) as its creator.

Why is this Dataset Different?

Unlike conventional before-and-after records,
this dataset preserves approximately 12 years (4,300 days) of continuous longitudinal observation.

It focuses on continuity and time-based structural patterns rather than isolated outcome snapshots.

This dataset preserves approximately 12 years (4,300 days) of single-subject longitudinal observation while maintaining chronological continuity across the archive.

While this original archive is single-subject and vitiligo-centered, the CS-NRRM™ structural observation framework itself is defined by continuity-preserved observation rather than by a specific disease or observation subject.