Machine learning for patient risk stratification for acute respiratory distress syndrome.
Daniel ZeibergTejas PrahladBrahmajee K NallamothuTheodore J IwashynaJenna WiensMichael W SjodingPublished in: PloS one (2019)
We developed an ARDS prediction model based on EHR data with good discriminative performance. Our results demonstrate the feasibility of a machine learning approach to risk stratifying patients for ARDS solely from data extracted automatically from the EHR.
Keyphrases
- acute respiratory distress syndrome
- machine learning
- electronic health record
- extracorporeal membrane oxygenation
- mechanical ventilation
- big data
- end stage renal disease
- chronic kidney disease
- ejection fraction
- artificial intelligence
- newly diagnosed
- intensive care unit
- deep learning
- patient reported outcomes
- patient reported