Clinical outcome prediction using observational supervision with electronic health records and audit logs
Description
CONCLUSION: Observational supervision with audit logs improved the performance of ML models trained to predict important clinical outcomes in patients with AKI and acute stroke, and improved robustness to temporal distribution shifts.
