Interpretation of Doppler blood flow velocity waveforms using neural networks.
Year: 1994
Type: article
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.
Source: PubMed Central
Authors: N Baykal, J A Reggia, N Yalabik, A Erkmen, M S Beksac
Institution: University of Maryland, College Park
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W39005247