DocumentCode
1915984
Title
Neural networks for predicting Kaposi´s sarcoma
Author
Husmeier, Dirk ; Patton, Gillian S. ; McClure, Myra O. ; Harris, John R W ; Roberts, Stephen J.
Author_Institution
Imperial Coll. of Sci., Technol. & Med., London, UK
Volume
5
fYear
1999
fDate
1999
Firstpage
3707
Abstract
This paper demonstrates a medical application of Bayesian neural networks, whose parameters and hyper-parameters are sampled from the posterior distribution by means of Monte Carlo Markov chain. The main objective is the determination of the relevance of various input variables. The paper focuses on typical difficulties one has to face when dealing with sparse data sets
Keywords
Bayes methods; Markov processes; Monte Carlo methods; medical diagnostic computing; neural nets; probability; Bayesian neural networks; Kaposi sarcoma prediction; Markov chain; Monte Carlo method; backpropagation; data sets; medical diagnostic computing; probability; Acquired immune deficiency syndrome; Bayesian methods; Biomedical equipment; Educational institutions; Input variables; Medical services; Monte Carlo methods; Neural networks; Switches; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.836274
Filename
836274
Link To Document