Title :
Breast cancer prognosis using the EMN architecture
Author :
Choong, Poh Lian ; Desilva, Christopher J S
Author_Institution :
Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
fDate :
27 Jun- 2 Jul 1994
Abstract :
This paper describes the practical use of the entropy maximization network architecture as a method of inference from small data sets as illustrated by an application to prediction of metastases in breast cancer patients
Keywords :
maximum entropy methods; medical diagnostic computing; neural nets; patient diagnosis; EMN architecture; breast cancer prognosis; entropy maximization network architecture; inference; metastases; Artificial neural networks; Breast cancer; Entropy; Hospitals; Inference algorithms; Intelligent systems; Lymph nodes; Metastasis; Pathology; Tumors;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374901
