A neural network expert system for diagnosing and treating hypertension

1 March 1991

journal article
Published by Institute of Electrical and Electronics Engineers (IEEE) in Computer

Vol. 24 (3) , 64-71
https://doi.org/10.1109/2.73514

Abstract

Hypernet (Hypertension Neural Expert Therapist), a neural network expert system for diagnosing and treating hypertension, is described. After a brief look at artificial neural networks, the authors describe the structure of the three modules that make up Hypernet, starting with the specific problem each network is intended to solve and explaining how the network is expected to operate. The tools developed for implementing the system are a compiler for a simple descriptive language that enables the authors to define, train, and test networks; a graphic editor that translates the network drawn by the user into the proper statements; and a set of programs for interactively generating the examples. The data used as examples, the learning phase, and the results of tests for evaluating the performance of each network are described. and conclusions about overall system results are presented.

Keywords

This publication has 3 references indexed in Scilit:

Time-qualified evaluation of blood pressure excess
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2003
Neural network models for pattern recognition and associative memory
Neural Networks, 1989
Learning representations by back-propagating errors
Nature, 1986