Medical decision making systems in pulmonology: a creative environment based on artificial neural networks

• Published in: Proceedings of IEEE International Conference on Systems, Man and Cybernetics Vol. 1; pp. 975 - 980 vol.1
• Main Authors: Economou, G.-P.K., Spiropoulos, C., Economopoulos, N.M., Charokopos, N., Lymberopoulos, D., Spiliopoulou, M., Haralambopulu, E., Goutis, C.E.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1994
• Subjects: Artificial intelligence; Artificial neural networks; Automated highways; Decision making; Diseases; Hospitals; Information processing; Intelligent networks; Medical diagnostic imaging; Signal processing algorithms
• ISBN: 9780780321298; 0780321294
• DOI: 10.1109/ICSMC.1994.399963

A powerful formation of artificial neural networks (ANNs) for implementing a medical decision making system (MDMS) in the field of the entire spectrum of pulmonary diseases (PDs), is the topic treated in this article. These ANNs were taught by means of real-world medical data patterns given by a team of PDs medical experts. Preliminary and more elaborate experiments showed an overall accuracy of about 92% in the MDMS' generalization results, a very promising achievement considering the complexity of the task.< >