Title :
A connectionist approach to predict antenatal outcome
Author :
Alonso-Betanzos, Amparo ; Pazos, Alejandro ; Moret-Bonillo, Vicente ; Rivas-Feal, Antonio ; del Riego, Antonino Santos
Author_Institution :
Dept. of Comput. Sci., Univ. of A Coruna, A Coruna, Spain
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
This article describes the construction and structure of an artificial neural network (ANN) for the prognosis of antenatal state. The results obtained had been compared with those of the prognostic module of the expert system NST-EXPERT and with those obtained by the perinatologists colaborating in the validation study of the latter. The ANN presented here has proved to be an adequate method to accomplish the prognostic partem recognition task. For this reason, a hybrid system incorporating the ANN techniques to manage the neonatal prognosis and the original diagnosis and therapeutic modules of the expert system NST-EXPERT is proposed.
Keywords :
medical computing; neural nets; patient diagnosis; patient treatment; ANN techniques; antenatal outcome; antenatal state prognosis; artificial neural network; connectionist approach; diagnosis module; expert system NST-EXPERT; neonatal prognosis; perinatologists; prognostic module; therapeutic module; Artificial neural networks; History; Pediatrics;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761224
