DocumentCode
3306683
Title
Outcome prediction for liver tumor surgery by means of EUBAFES and neural nets
Author
Zahlmann, Gudrun ; Scherf, M. ; Rau, H. ; Kessler, M.
Author_Institution
GSF, Neuherberg, Germany
Volume
2
fYear
1999
fDate
36434
Abstract
On the basis of pre-operative lab parameters and decisions given by the physician about planned surgical interventions the outcome of liver tumor surgery is predicted. In the experiments, we use the feature selection approach EUBAFES (Euclidean based feature selection)
Keywords
feature extraction; liver; medical signal processing; neural nets; pattern classification; surgery; tumours; EUBAFES; Euclidean based feature selection; liver tumor surgery; neural nets; outcome prediction; physician decisions; planned surgical interventions; pre-operative lab parameters; Artificial neural networks; Data analysis; Data preprocessing; Humans; Liver neoplasms; Neural networks; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804088
Filename
804088
Link To Document