Cardiac events could be taken into account as the leading causes of death throughout the
globe. Such events also trigger an undesirable increase in what treatment procedures cost …

Background A suitable multivariate predictor for predicting mortality following percutaneous
coronary intervention (PCI) remains undetermined. We used a nationwide database to …

In recent years the incidence of heart diseases has been increasing in developing countries.
This disease as one of the most common human disease, besides killing thousands of …

Background: Considering the prevalence of cardiovascular diseases in Iran and the high
rate of death caused by these diseases, correct prediction of patients' situation is important …

Aim. To develop a neural network basis for the design of artificial intelligence software to
predict adverse cardiovascular outcomes in the population. Materials and Methods. Neural …

Objective: Artificial Neural Networks (ANNs) trained with backpropagation learning algorithm
have been used commonly in previous studies. This study presents radial basis function …

The assessment of medical outcomes is important in the effort to contain costs, streamline
patient management, and codify medical practices. As such, it is necessary to develop …

Objectives Accurate prediction of patients' length of stay is highly important. This study
compared the performance of artificial neural network and adaptive neuro-fuzzy system …

Prediction is an important task in clinical fields. There has been increased interest in using
neural networks (NNs) as a potential alternative to multivariate regression models for …

Data mining using machine learning techniques may aid in the development of prediction
models for Acute Coronary Syndrome (ACS) patients. ACS prediction models such as TIMI …