Nomige Dermatogenomics Dataset: Genetic, Lifestyle, and Skin Phenotype Variables for Personalized Skin Health Modeling

This dataset contains de-identified dermatogenomics and lifestyle records used to study personalized skin-health phenotypes through machine learning. The dataset integrates genetic markers, lifestyle/environmental variables, and ordinal skin concern severity labels related to pigmentation, scarring, dryness, sensitivity, acne, and redness. It was used in multiple studies on multimodal skin-health modeling, phenotype clustering, multi-output prediction, explainable AI, and privacy-preserving dermatological assessment. The dataset supports research in dermatogenomics, personalized skincare, precision dermatology, explainable machine learning, multi-output prediction, gene-environment interaction modeling, and AI-assisted dermatological assessment.