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Machine Learning-Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts.

Hojae LeeJoong Ki ChoJaeyu ParkHyeri LeeGuillaume FondLaurent BoyerHyeon Jin KimSeoyoung ParkWonyoung ChoHayeon LeeJin Seok LeeDong-Keon Yon
Published in: Journal of medical Internet research (2024)
This study emphasizes the potential of ML models in predicting suicide risks in patients with AR, encouraging further application of these models in other conditions to enhance adolescent health and decrease suicide rates.
Keyphrases
  • allergic rhinitis
  • young adults
  • machine learning
  • human health
  • mental health
  • public health
  • healthcare
  • physical activity
  • risk assessment
  • big data
  • climate change
  • childhood cancer