Publication Date:
1989
abstract:
The authors attempt to apply the back-propagation method (BP), described by Rumelhart and McClelland (1986), to dyspepsia diagnosis. In particular the program utilizes the method with adaptive learning parameters taken from the method adopted by Vogl (1988). The major aim is to identify patients who are suspected of having a neoplastic disease and need further diagnostic testing. The long term aim is to analyze patients suffering from various types of dyspepsia by which symptoms may be connected to pathologies with a low margin of error
Iris type:
04.03 Poster in Atti di convegno
Keywords:
Neural Networks; medical diagnosis; backpropagation
List of contributors:
Arrigo, Patrizio
Book title:
First IEE International Conference on Artificial Neural Network