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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Bibliographic Details
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
Subjects
Backpropagation
Computer science
Data mining
Expert systems
Laboratories
Medical treatment
Neural networks
Programming profession
Resource management
Testing
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Summary: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.< >
ISBN:9780818627422
0818627425
DOI:10.1109/CBMS.1992.245038