loading...
Using machine learning for outcome prediction of patients with severe head injury
Maribor, SLOVENIA March 11-March 13
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.59643410th IEEE Symposium on Computer-Based ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
I.A. Pilih, Dept. of Trauma Surgery, Gen. Hospital of Celje, Slovenia
D. Mladenic, Dept. of Trauma Surgery, Gen. Hospital of Celje, Slovenia
N. Lavrac, Dept. of Trauma Surgery, Gen. Hospital of Celje, Slovenia
T.S. Prevec, Dept. of Trauma Surgery, Gen. Hospital of Celje, Slovenia
The paper presents an application of decision tree induction to the problem of the prediction of outcome after a severe head injury. The study shows that induced decision trees are useful for the analysis of the importance of clinical parameters and of their combinations for the evaluation of the severity of brain injury and for outcome prediction.
Index Terms:
medical expert systems; machine learning; outcome prediction; patients; severe head injury; decision tree induction; induced decision trees; clinical parameters; brain injury
Citation:
I.A. Pilih, D. Mladenic, N. Lavrac, T.S. Prevec, "Using machine learning for outcome prediction of patients with severe head injury," cbms, pp.200, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997
Usage of this product signifies your acceptance of the Terms of Use.