Interpretation of Doppler blood flow velocity waveforms using neural networks.
作者信息
Baykal N, Reggia J A, Yalabik N, Erkmen A, Beksac M S
机构信息
Dept. of Computer Science, University of Maryland, College Park 20742.
出版信息
Proc Annu Symp Comput Appl Med Care. 1994:865-9.
Abstract
Doppler umbilical artery blood flow velocity waveform measurement is used in perinatal surveillance for the evaluation of pregnancy status. There is an ongoing debate on the predictive value of Doppler measurements concerning the critical effect of the selection of parameters for the evaluation of Doppler output. In this paper, we describe how neural network methods can be used both to discover relevant classification features and subsequently to classify patients. Classification accuracy varied from 92-99% correct.
摘要
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Interpretation of Doppler blood flow velocity waveforms using neural networks.
Proc Annu Symp Comput Appl Med Care. 1994:865-9.
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