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The Use of Artificial Neural Networks to Determine In-Hospital Mortality After Coronary Artery Bypass Surgery
The ANN model tended to outperform multiple linear regression models in predicting in-hospital mortality among patients who have undergone coronary artery bypass graft surgery. Physicians can make use of this information as an aid in performing treatments and ensuring that more accurate quality of surgical care is achieved.
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Thromboelastography is a Suboptimal Test for Determination of the Underlying Cause of Bleeding Associated with Cardiopulmonary Bypass and May Not Predict a Hypercoagulable State
TEG had limited utility in identifying the underlying cause of bleeding
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Effect of Hematocrit on the CO2 Removal Rate of Artificial Lungs
In conclusion, the hematocrit level significantly affects vCO2 and should be taken into account when interpreting changes in the vCO2 of an ECCO2R device.
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