Predicting Early Transplant Failure: Neural Network Versus Logistic Regression Models
نویسندگان
چکیده
منابع مشابه
Predicting Early Transplant Failure: Neural Network Versus Logistic Regression Models
Cox’s proportional hazard model or logistic regression model has been the classical mathematical approach to predict transplant results, but artificial neural networks may offer better results. In order to compare both methods, a logistic regression and a neural network model were generated to predict early transplant failure assessed at 90 days. Methods: Medical charts from 701 liver transplan...
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ژورنال
عنوان ژورنال: The Open Transplantation Journal
سال: 2009
ISSN: 1874-4184
DOI: 10.2174/1874418400903010014