A new machine learning tool for mining brain stroke data

This paper contains a brief description of a new computer programming tool for supervised machine learning, designed to generate production rules from data. The research tool described - named NGTS - was used for prediction of the Glasgow Outcome Scale and Rankin Scale for patients affected by sever...

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Published in:	3rd International Conference on Human System Interaction pp. 246 - 250
Main Authors:	Mroczek, Teresa, Grzymala-Busse, Jerzy W, Hippe, Zdzislaw S
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2010
Subjects:	Artificial intelligence Data mining decision rules Electronic mail Engineering management Expert systems Glasgow Outcome Scale Information management Information technology Machine learning NGTS algorithm NGTS system Production Rankin Scale severe brain damage Technology management
ISBN:	9781424475605, 1424475600
ISSN:	2158-2246
Online Access:	Get full text
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Abstract	This paper contains a brief description of a new computer programming tool for supervised machine learning, designed to generate production rules from data. The research tool described - named NGTS - was used for prediction of the Glasgow Outcome Scale and Rankin Scale for patients affected by severe brain damage.
AbstractList	This paper contains a brief description of a new computer programming tool for supervised machine learning, designed to generate production rules from data. The research tool described - named NGTS - was used for prediction of the Glasgow Outcome Scale and Rankin Scale for patients affected by severe brain damage.
Author	Mroczek, Teresa Hippe, Zdzislaw S Grzymala-Busse, Jerzy W
Author_xml	– sequence: 1 givenname: Teresa surname: Mroczek fullname: Mroczek, Teresa email: tmroczek@wsiz.rzeszow.pl organization: Dept. of Expert Syst. & Artificial Intell., Univ. of Inf. Technol. & Manage., Rzeszów, Poland – sequence: 2 givenname: Jerzy W surname: Grzymala-Busse fullname: Grzymala-Busse, Jerzy W email: jerzy@ku.edu organization: Dept. of Expert Syst. & Artificial Intell., Univ. of Inf. Technol. & Manage., Rzeszów, Poland – sequence: 3 givenname: Zdzislaw S surname: Hippe fullname: Hippe, Zdzislaw S email: zhippe@wsiz.rzeszow.pl organization: Dept. of Expert Syst. & Artificial Intell., Univ. of Inf. Technol. & Manage., Rzeszów, Poland
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Snippet	This paper contains a brief description of a new computer programming tool for supervised machine learning, designed to generate production rules from data....
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SubjectTerms	Artificial intelligence Data mining decision rules Electronic mail Engineering management Expert systems Glasgow Outcome Scale Information management Information technology Machine learning NGTS algorithm NGTS system Production Rankin Scale severe brain damage Technology management
Title	A new machine learning tool for mining brain stroke data
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