From: Early prediction of MODS interventions in the intensive care unit using machine learning
Features | Original input | Counterfactual example |
---|---|---|
currentMinGcs | 8 | 15 |
gcs24HoursMods | 3 | 2 |
respiratory24HoursMods | 2 | 1 |
renal24HoursMods | 0 | – |
currentHour | 60 | – |
currentMaxCreatinine | 53.04 | – |
hepatic24HoursMods | 0 | – |
cardiovascular24HoursMods | 0 | – |
hematologic24HoursMods | 0 | – |
12 other features | – | – |
Predicted outcome | 0.97 | 0.11 |