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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804088
