From: Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation
Random forest model* | Chi-square model |
---|---|
Hemorrhage | |
 Heparin drip rate—maximum dosage | Heparin drip rate—maximum dosage |
 Heparin drip rate—mean dosage | Heparin drip rate—mean dosage |
 PTT—lowest value | Heparin drip rate—minimum dosage |
 Activated clotting time—highest value | PTT—highest value |
 Platelet count—highest value | PTT—mean value |
 Race | PTT—lowest value |
 ECMO configuration | INR—highest value |
 ECMO—double-lumen cannulation | INR—mean value |
 Drainage cannula size | INR—lowest value |
 Drainage cannula site | Activated clotting time—highest value |
Thrombosis | |
 ECMO—double-lumen cannulation | Heparin drip rate—maximum dosage |
 Platelet—lowest value | Heparin drip rate—mean dosage |
 Transfusion of cryoglobulin | Heparin drip rate—minimum dosage |
 Transfusion of platelets | PTT—highest value |
 Body mass index | PTT—mean value |
 Renal replacement therapy | PTT—lowest value |
 ECMO—duration | INR—highest value |
 ECMO indication—status asthmaticus | INR—mean value |
 ECMO indication—PH/right ventricular failure | INR—lowest value |
 Platelet count—mean value | Activated clotting time—highest value |