Using machine learning for outcome prediction of patients with severe head injury

CC
CBMS
1997
10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97)
Abstract - Using machine learning for outcome prediction of patients with severe head injury

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	Similar Articles Articles by I.A. Pilih Articles by D. Mladenic Articles by N. Lavrac Articles by T.S. Prevec

10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97)

Maribor, SLOVENIA

March 11-March 13

ISBN: 0-8186-7928-X

	ASCII Text	x
	I.A. Pilih, D. Mladenic, N. Lavrac, T.S. Prevec, "Using machine learning for outcome prediction of patients with severe head injury," Computer-Based Medical Systems, IEEE Symposium on, pp. 200, 10th IEEE Symposium on Computer-Based Medical Systems (CBMS'97), 1997.

	BibTex	x
	@article{ 10.1109/CBMS.1997.596434, author = {I.A. Pilih and D. Mladenic and N. Lavrac and T.S. Prevec}, title = {Using machine learning for outcome prediction of patients with severe head injury}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {1997}, issn = {1063-7125}, pages = {200}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596434}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Using machine learning for outcome prediction of patients with severe head injury SN - 1063-7125 SP EP A1 - I.A. Pilih, A1 - D. Mladenic, A1 - N. Lavrac, A1 - T.S. Prevec, PY - 1997 KW - medical expert systems; machine learning; outcome prediction; patients; severe head injury; decision tree induction; induced decision trees; clinical parameters; brain injury VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1997.596434

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

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