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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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Identification of Pressure Passive Cerebral Perfusion and Its Mediators after Infant Cardiac Surgery
Absctract: Cerebrovascular pressure autoregulation (CPA) regulates cerebral blood flow (CBF) in relation to changes in mean arterial blood pressure (MAP). Identification of […]
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Unit-To-Unit Variability in The Deformability of Red Blood Cells
The present study has demonstrated that storage duration is only one of the factors, and seemingly not even the major one, affecting the PRBCs functionality.
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