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

Content Provider	IEEE Xplore Digital Library
Author	Pilih, I.A. Mladenic, D. Lavrac, N. Prevec, T.S.
Copyright Year	1997
Description	Author affiliation: Dept. of Trauma Surgery, Gen. Hospital of Celje, Slovenia (Pilih, I.A.)
Abstract	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.
Starting Page	200
Ending Page	204
File Size	342979
Page Count	5
File Format	PDF
ISBN	081867928X
ISSN	10637125
DOI	10.1109/CBMS.1997.596434
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-11
Publisher Place	Slovenia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Machine learning Magnetic heads Brain injuries Hospitals Decision trees Surgery Statistical analysis Mathematical model Protocols Tomography
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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