Otoneurological expert system for vertigo

We have developed an otoneurological expert system (ONE) to aid the diagnos tics of vertigo, to assist reaching and to implement a ci;database for rese arch. The ONE database is set to harvest data on patient history, signs and test results nesessary for diagnostic work with vertiginous patients. A me thod based on pattern recognition was used in the reasoning process. Questi on about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease prof iles. PI;Missing information and uncertainties are solved with a method res embling fuzzy logic. ONE was validated by comparing diagnoses assessed bq p hysicians with those provided by the system. It proved to be a valid decisi on-maker by solving 65% of the cases correctly, while the phisicians mean w as 69%. To improve ONE further, a follow-up should be implemented for the p atients. since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information, on disea ses involving vertigo by applying adaptive computer applications, such as g enetic algorithms. to the reasoning process.