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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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Effect of Intra-operative Nadir Hematocrit During Cardiac Surgery: The Michigan Experience (EP Video)
Donald Likosky discusses the effect of Nadir hematocrit during cardiac surgery from the Michigan database (9:53 minutes).
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Transfusion Protocols for Pediatric Cardiac Patients
OBJECTIVES: Low-hematocrit bypass is one technique used to prevent allogeneic transfusion during cardiopulmonary bypass. The purpose of this study is to determine […]
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