A 51-year-old man walks into an emergency department with mild left anterior chest pain. He
denies any significant personal or family history of heart disease and he has no other …

Neural networks are parallel, distributed, adaptive information-processing systems that
develop their functionality in response to exposure to information. This paper is a tutorial for …

▪ Objective: To validate prospectively the use of an artificial neural network to identify
myocardial infarction in patients presenting to an emergency department with anterior chest …

1.1 Overview We are living in a decade recently declared as the" Decade of the Brain".
Neuroscientists may soon manage to work out a functional map of the brain, thanks to …

This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …

As the construction industry is adapting to new computer technologies in terms of hardware
and software, computerized construction data are becoming increasingly available. The …

Background Artificial neural networks apply non-linear statistics to pattern recognition
problems. One such problem is acute myocardial infarction (AMI), a diagnosis which, in a …

During the last 10 years different interpretative methods for analysing the effect or
importance of input variables on the output of a feedforward neural network have been …

Study objective: Chest pain is the second most common chief complaint presented to the
emergency department. Although the causes of chest pain span the clinical spectrum from …

Study Objective: Accurate identification of the presence of acute myocardial infarction in
adult patients who present to the emergency department with anterior chest pain remains …