Evolving rule-based models: a tool for design of flexible adaptive systems
Evolving rule-based models: a tool for design of flexible adaptive systems
An approach of soft computing applications in clinical neurology
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Hi-index | 0.00 |
This research focussed on diagnosing migraine types in working people employing the rule-based fuzzy logic system. Migraine is not a disease which typically shortens one's life. However, it can be a serious social as well as a health problem. Approximately 27 billion euros per year are lost through reduced work productivity in the European Community. The diagnostic criteria developed by the International Headache Society (IHS) have been used in epidemiological researches, but there is no such tool which helps physicians make diagnoses. The rules were facilitated by the application of the IHS criteria for migraine types. Clinical experience was used to extend the established rules and improve the system. The proposed system is in the starting phase of the implementation at the Clinical Centre Vojvodina, Institute of Neurology in Novi Sad.