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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| Veröffentlicht in: | 3rd International Conference on Human System Interaction S. 246 - 250 |
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| Hauptverfasser: | , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.05.2010
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| ISBN: | 9781424475605, 1424475600 |
| ISSN: | 2158-2246 |
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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. |
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| 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 |
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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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