Discovering associations between radiological features and COVID-19 patients' deterioration.
Nasrin AhmadinejadSeyed Mohammad AyyoubzadehFahimeh ZeinalkhaniSina DelazarZohreh JavanmardZahra AhmadinejadAmirhassan MohajeriMarzieh EsmaeiliPublished in: Health science reports (2023)
This study could reveal the application and efficacy of CXR and CT scan imaging modalities in predicting ICU admission to a major COVID-19 infection via data mining methods. The findings of this study could help data scientists, radiologists, and clinicians in the future development and implementation of these methods in similar conditions and timely and appropriately save patients from adverse disease outcomes.
Keyphrases
- magnetic resonance
- contrast enhanced
- computed tomography
- healthcare
- emergency department
- sars cov
- intensive care unit
- ejection fraction
- primary care
- electronic health record
- high resolution
- newly diagnosed
- machine learning
- artificial intelligence
- prognostic factors
- magnetic resonance imaging
- photodynamic therapy
- type diabetes
- single cell
- current status
- pet ct
- fluorescence imaging
- acute respiratory distress syndrome