Machine Learning-Based COVID-19 Patients Triage Algorithm Using Patient-Generated Health Data from Nationwide Multicenter Database.
Min Sue ParkHyeontae JoHaeun LeeSe Young JungHyung Ju HwangPublished in: Infectious diseases and therapy (2022)
A prompt severity assessment model for managing infectious people has been attained through using a nationwide data set. It has demonstrated its superior performance by surpassing that of conventional risk assessments. With the model's high performance and easily accessible features, the triage algorithm is expected to be particularly useful when patients monitor their health status by themselves through smartphone applications.
Keyphrases
- machine learning
- emergency department
- big data
- end stage renal disease
- electronic health record
- deep learning
- cross sectional
- ejection fraction
- healthcare
- artificial intelligence
- chronic kidney disease
- newly diagnosed
- sars cov
- mental health
- peritoneal dialysis
- case report
- prognostic factors
- clinical trial
- health information
- patient reported outcomes
- risk assessment
- neural network