An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model.
Hoon KoHeewon ChungWu-Seong KangChul ParkDo Wan KimSeong Eun KimChi Rayng ChungRyoung-Eun KoHoo-Seok LeeJae Ho SeoTae-Young ChoiRafael JaimesKyoung Won KimJin Seok LeePublished in: Journal of medical Internet research (2020)
Our new AI model, EDRnet, accurately predicts the mortality rate for COVID-19. It is publicly available and aims to help health care providers fight COVID-19 and improve patients' outcomes.
Keyphrases
- artificial intelligence
- sars cov
- healthcare
- coronavirus disease
- machine learning
- big data
- cardiovascular events
- emergency department
- ejection fraction
- end stage renal disease
- risk factors
- type diabetes
- newly diagnosed
- cardiovascular disease
- prognostic factors
- coronary artery disease
- adipose tissue
- insulin resistance
- social media