Abstract
An Expert System (MYDEARBABY) for Evaluating Fetal Heart Rate (FHR) variations of an unborn baby has been developed using an ad-hoc Production Rule Technique (version 2.34) and Neural Network Technique (version 2.47). The training set contains 219 recordings from mostly at-risk patients. In Neural Netvork version of the expert system single layer Neural Net (functional link net) with 17 inputs, 1 output parameter are used.
This publication and MYDEARBABY 90/2.47 expert system version are prepared while Dr. Karakas was supported by Fulbright Scholarship at Case Western Reserve University, Center for Automation and Intelligent Systems Research.
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Karakas, M.U., Pao, YH., Sinan Beksac, M., Ozdemir, K. (1990). A Neural Net Learning Algorithm for Design of Cardiotocograph Signal Evaluation Expert System: MYDEARBABY 90/2.47. In: Tjoa, A.M., Wagner, R. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7553-8_70
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DOI: https://doi.org/10.1007/978-3-7091-7553-8_70
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