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A host gene expression approach for identifying triggers of asthma exacerbations.

Emily C LydonCharles BullardMert AydinOlga M BetterAnna MazurBradly P NicholsonEmily R KoMicah T McClainGeoffrey S GinsburgChris W WoodsThomas W BurkeRicardo HenaoEphraim L Tsalik
Published in: PloS one (2019)
Our model classified asthma exacerbations by the underlying bacterial, viral, and noninfectious host response. Compared to clinical adjudication, the majority of discordances occurred in the bacterial group, due to either imperfect adjudication or model misclassification. Bacterial infection was identified infrequently by all classification schemes, but nearly half of subjects were prescribed antibiotics. A gene expression-based approach may offer useful diagnostic information in this population and guide appropriate antibiotic use.
Keyphrases
  • chronic obstructive pulmonary disease
  • gene expression
  • lung function
  • cystic fibrosis
  • dna methylation
  • machine learning
  • sars cov
  • deep learning
  • allergic rhinitis
  • healthcare
  • health information