CS-NRRM™: A 12-Year Longitudinal Dataset Reaches Structural Completion

CS-NRRM™ (Changhun Shin Natural Recovery Pattern Model)

is a non-medical structural interpretation framework derived from a 12-year continuous personal dataset.

Over approximately 4,300 days, changes in skin condition were continuously recorded and observed without interruption.

This dataset does not represent a treatment method, medical theory, or clinical model. It represents a continuous structural record observed over time.

It does not provide diagnosis, prescriptions, or predictions. Instead, it focuses on observing structural patterns that appear over time.

In the final observation phase, remaining areas of the skin gradually reached visual consistency with surrounding regions.

This does not imply medical recovery or treatment outcome. It indicates that the observed structural pattern remained consistent until the last recorded stage.

The significance of this dataset lies not in explaining “why” changes occurred, but in documenting “how” patterns persisted and stabilized over a long-term timeline.

This continuous observation forms the basis of CS-NRRM™ as a structural dataset.

Official dataset: https://github.com/changhunshin-csnrrm/cs-nrrm

Official site: https://sites.google.com/view/changhunshin/home-en

→ Core Framework of CS-NRRM™

This dataset is presented as a structural record, not as a claim of medical recovery.