Can we identify allergic rhinitis from administrative data: A validation study.

Katja Biering Leth-MøllerTea SkaabyFlemming MadsenJanne PetersenAllan Linneberg

Published in: Pharmacoepidemiology and drug safety (2020)

Algorithms based on both antihistamines and intranasal corticosteroids yielded the highest PPVs. However, the PPVs were still moderate and came at the expense of low sensitivity when applying the strict primary gold standard (sIgE and nasal symptom).

Keyphrases

allergic rhinitis
machine learning
electronic health record
big data
high intensity
deep learning
chronic rhinosinusitis
artificial intelligence