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Endotyping allergic rhinitis in children: A machine learning approach.

Velia MaliziaGiovanna CilluffoSalvatore FasolaGiuliana FerranteMassimo LandiLaura MontalbanoGian Luigi MarsegliaStefania La Grutta
Published in: Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology (2022)
The present study used a machine learning approach for endotyping childhood AR, which may contribute to improve the diagnostic accuracy and to deliver personalized health care in the context of precision medicine.
Keyphrases
  • machine learning
  • allergic rhinitis
  • healthcare
  • artificial intelligence
  • big data
  • young adults
  • social media