ACADEMY

Big Data Analysis of Skin Aging by Dr. Jung Min Bae

by Heal House Gangnam Branch

Director Jung Min Bae used the statistical program R to analyze changes in skin hydration, elasticity, collagen, wrinkles, and pigmentation indicators by age, confirming that skin aging progresses before it becomes outwardly visible.

Exploring the trends of skin aging and directions for management based on statistical data analyzing changes in skin hydration, elasticity, and collagen indicators by age.

Skin aging does not start suddenly one day. It progresses as subtle changes accumulate over a long time. Director Jung Min Bae, who has continued research experience in the field of health and medical statistics, used the statistical analysis program R to examine how skin hydration, elasticity, collagen, wrinkles, and pigmentation indicators change with age.

Photo 1 related to Director Jung Min Bae's big data-based skin aging analysis

The data points to an earlier starting point than you might think. Indicators of hydration and elasticity begin to change gradually from a relatively early age, and as age increases, wrinkles and pigmentation changes become more pronounced. This means that changes were already underway inside the skin long before they became visible on the surface.

That is why it is difficult to know where your skin stands based only on the wrinkles or sagging you see now. Knowing which factors decline first can also change what you should be focusing on now. However, because skin condition, lifestyle habits, and sun exposure vary from person to person even within the same age group, we assess each individual's status during a consultation.

The data does not provide a single answer for everyone. However, it serves as a reliable reference for gauging where you are now and when and what to start. This is why Heal House always brings up data first when discussing anti-aging.

Photo 2 related to Director Jung Min Bae's big data-based skin aging analysis
Photo 3 related to Director Jung Min Bae's big data-based skin aging analysis
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