COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.
Jianhong ChengJohn SolleeCelina HsiehHailin YueNicholas VandalJustin ShanahanJi Whae ChoiThi My Linh TranKasey HalseyFranklin IheanachoJames WarrenAbdullah AhmedCarsten EickhoffMichael FeldmanEduardo Mortani BarbosaIhab KamelCheng Ting LinThomas YiTerrance HealeyPaul ZhangJing WuMichael AtalayHarrison X BaiZhicheng JiaoJianxin WangPublished in: European radiology (2022)
• Deep learning was used to predict mortality in COVID-19 ICU patients. • Serial radiographs and clinical data were used. • The models could inform clinical decision-making and resource allocation.
Keyphrases
- deep learning
- coronavirus disease
- sars cov
- end stage renal disease
- decision making
- cardiovascular events
- newly diagnosed
- machine learning
- electronic health record
- chronic kidney disease
- type diabetes
- ejection fraction
- risk factors
- big data
- artificial intelligence
- cardiovascular disease
- peritoneal dialysis
- convolutional neural network
- cross sectional
- patient reported
- respiratory syndrome coronavirus
- cone beam computed tomography