Severity measurements using neural networks
The authors introduce a novel patient severity measurement model using neural networks. A three layer, fully connected backpropagation neural network was used in the pilot experiment. The results are promising and demonstrate that the backpropagation neural network technique is capable of assessing...
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Published in | [1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems pp. 688 - 694 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE Comput. Soc. Press
1992
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Subjects | |
Online Access | Get full text |
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Abstract | The authors introduce a novel patient severity measurement model using neural networks. A three layer, fully connected backpropagation neural network was used in the pilot experiment. The results are promising and demonstrate that the backpropagation neural network technique is capable of assessing the severity value by learning from raw data. The neural network is easy to improve and of relatively low cost. It saves the expert's valuable time used in assigning numerical values to variables.< > |
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AbstractList | The authors introduce a novel patient severity measurement model using neural networks. A three layer, fully connected backpropagation neural network was used in the pilot experiment. The results are promising and demonstrate that the backpropagation neural network technique is capable of assessing the severity value by learning from raw data. The neural network is easy to improve and of relatively low cost. It saves the expert's valuable time used in assigning numerical values to variables.< > |
Author | Naeymi-Rad, F. Evens, M. Trace, D.A. Chen, S. |
Author_xml | – sequence: 1 givenname: S. surname: Chen fullname: Chen, S. organization: Dept. of Comput Sci., Illinois Inst. of Technol., Chicago, IL, USA – sequence: 2 givenname: M. surname: Evens fullname: Evens, M. organization: Dept. of Comput Sci., Illinois Inst. of Technol., Chicago, IL, USA – sequence: 3 givenname: D.A. surname: Trace fullname: Trace, D.A. – sequence: 4 givenname: F. surname: Naeymi-Rad fullname: Naeymi-Rad, F. |
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Snippet | The authors introduce a novel patient severity measurement model using neural networks. A three layer, fully connected backpropagation neural network was used... |
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StartPage | 688 |
SubjectTerms | Backpropagation Computer science Data mining Expert systems Laboratories Medical treatment Neural networks Programming profession Resource management Testing |
Title | Severity measurements using neural networks |
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