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.
