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Application of Machine Learning Algorithms for Asthma Management with mHealth: A Clinical Review.

Kevin Cheuk Him TsangHilary PinnockAndrew M WilsonSyed Ahmar Shah
Published in: Journal of asthma and allergy (2022)
In the past five years, many studies have successfully applied machine learning to asthma mHealth data. However, most have been developed on small datasets with internal validation at best. Small sample sizes and lack of external validation limit the generalizability of these studies. Future research should collect data that are more representative of the wider asthma population and focus on validating the derived algorithms and technologies in a real-world setting.
Keyphrases
  • machine learning
  • big data
  • chronic obstructive pulmonary disease
  • lung function
  • artificial intelligence
  • allergic rhinitis
  • deep learning
  • electronic health record
  • air pollution
  • data analysis
  • rna seq