Title :
A novel medical decision support system
Author :
Economou, G.-P.K. ; Goumas, P.D. ; Spiropoulos, K.
Author_Institution :
Dept. of Electr. Eng., Patras Univ., Greece
Abstract :
The article presents a novel modular medical decision support system, called Georgia, that has been evaluated in the Regional Hospital in Patras, for general use in the field of pulmonary diseases. Georgia can suggest potential diseases and recommend treatment for the disease to the physician. It is the first system by which a whole category of distressed body organs´ diseases can be identified and treated by a decision support system. It is based on the application of artificial neural networks that have been taught and tested by means of the experience of medical doctors and clinical data, resulting in accurate recognition of the disease in 88-95% of the cases that have been evaluated. A user friendly expert-to-machine interface is integrated into this system to assure its usability by medical doctors.
Keywords :
decision support systems; medical diagnostic computing; medical information systems; neural nets; user interfaces; Georgia; artificial neural networks; clinical data; medical doctors; novel medical decision support system; physician; pulmonary diseases; user friendly expert-to-machine interface; Biomedical computing; Decision support systems; Medical information systems; Neural networks; User interfaces;
Journal_Title :
Computing & Control Engineering Journal
DOI :
10.1049/cce:19960404
