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Asthma Hospital Admission and Readmission Spikes, Advancing Accurate Classification to Advance Understanding of Causes.

Mehak BatraBircan ErbasDon Vicendese
Published in: Diagnostics (Basel, Switzerland) (2022)
S-H-ESD is useful and statistically appropriate for accurate classification of HAADs and HARDS. It obviates ad hoc approaches and presents as a means of systemizing their accurate classification and detection. This will strengthen synthesis and efficacy of research toward understanding causes of HAADs and HARDs for their risk mitigation.
Keyphrases
  • deep learning
  • machine learning
  • high resolution
  • emergency department
  • chronic obstructive pulmonary disease
  • healthcare
  • climate change
  • lung function
  • real time pcr