Machine learning reveals distinct temperature thresholds and environmental modulators for atopic dermatitis and allergic contact dermatitis prevalence in South Korea

• Ji Su Lee ,

  Roles Formal analysis, Writing – original draft, Writing – review & editing

  ¶☯ These authors contributed equally to this work and share first authorship.

  Affiliations Department of Dermatology, Seoul National University College of Medicine, Seoul, Republic of Korea, Department of Dermatology, Seoul Metropolitan Government – Seoul National University (SMG-SNU) Boramae Medical Center, Seoul, Republic of Korea

  https://orcid.org/0000-0003-0207-2107

  ⨯
• Hyun Keun Ahn ,

  Roles Writing – review & editing

  ¶☯ These authors contributed equally to this work and share first authorship.

  Affiliations Department of Dermatology, Seoul National University College of Medicine, Seoul, Republic of Korea, Department of Dermatology, Seoul National University Hospital, Seoul, Korea

  https://orcid.org/0009-0001-3962-3972

  ⨯
• Soo Ick Cho,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft

  Affiliation InSkin Lab, Seoul, Republic of Korea

  ⨯
• Je-Ho Mun,

  Roles Conceptualization

  Affiliations Department of Dermatology, Seoul National University College of Medicine, Seoul, Republic of Korea, Department of Dermatology, Seoul National University Hospital, Seoul, Korea

  ⨯
• Kyu Han Kim,

  Roles Conceptualization

  Affiliation Department of Dermatology, Veterans Health Service Medical Center, Seoul, Korea

  ⨯
• Dong Hun Lee

  Roles Conceptualization, Supervision, Writing – review & editing

  * E-mail: ivymed@snu.ac.kr

  Affiliations Department of Dermatology, Seoul National University College of Medicine, Seoul, Republic of Korea, Department of Dermatology, Seoul National University Hospital, Seoul, Korea

  https://orcid.org/0000-0002-2925-3074

  ⨯