title: Discovering diagnostic rules from a neurotologic database with genetic algorithms.
abstract: Data on patients with Meniere's disease, vestibular schwannoma, traumatic vertigo, sudden deafness, benign paroxysmal positional vertigo, or vestibular neuritis were retrieved from the database of otoneurologic expert system ONE for the development and testing of a genetic algorithm (GA). The accuracy of the diagnostic rules in solving the test cases was 81%, 91%, 92%, 95%, 96%, and 98% for the respective diseases. The best rules retrieved from the GA were described by a set of questions with the most likely answers. The most important questions concerned the duration of hearing loss and the occurrence of head injury. The validity and structure of the rules created with a GA can be analyzed in detail. For rare diseases, some other reasoning process can be used, for example, case-based reasoning.
authors.affiliation: Department of Otorhinolaryngology, Helsinki University Hospital, Finland.
authors.forename: E
authors.initials: E
authors.lastname: Kentala
authors.forename: J
authors.initials: J
authors.lastname: Laurikkala
authors.forename: I
authors.initials: I
authors.lastname: Pyykkö
authors.forename: M
authors.initials: M
authors.lastname: Juhola
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D019992:Databases as Topic; D003937:Diagnosis, Differential; D019937:Diagnostic Techniques and Procedures; D004427:Ear Diseases / Q000175:diagnosis* / Q000235:genetics; D005823:Genetics; D006801:Humans