Utilizing pre- as well as post-initiation variables, ML identified on-ECMO physiologic and pulmonary conditions that best predicted neurological outcomes.
Keyphrases
- extracorporeal membrane oxygenation
- acute respiratory distress syndrome
- machine learning
- respiratory failure
- mechanical ventilation
- pulmonary hypertension
- genome wide
- type diabetes
- gene expression
- artificial intelligence
- metabolic syndrome
- dna methylation
- big data
- cerebral ischemia
- brain injury
- glycemic control
- blood brain barrier