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Developing and validating clinical models to identify candidates for allergic rhinitis pre-exposure prophylaxis.

Wenting LuoXiangqing HouYun SunHong ZhangHuali RenXiangping MaGuoping LiYongmei YuJianxin SunHuajie WuJing WuRuifen ZhongSiqin WangZhenan LiYan ZhaoLiting WuXianhui ZhengMiaoyuan XuQingyuan YeChuangli HaoBao-Qing Sun
Published in: Annals of medicine (2023)
Early identification of candidates for AR PrEP using routine medical information may improve the deployment of limited resources and effective health management. Our models showed good performance in predicting AR; therefore, they can serve as potential automatic screening tools to identify AR PrEP candidates.
Keyphrases
  • mental health
  • allergic rhinitis
  • men who have sex with men
  • healthcare
  • deep learning
  • machine learning
  • health information
  • public health
  • risk assessment
  • human health
  • climate change
  • social media
  • neural network