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
Main Authors Chen, S., Evens, M., Trace, D.A., Naeymi-Rad, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1992
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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.< >
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.
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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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