Otoneurological Expert System for Vertigo

We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A metho...

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Bibliographic Details
Published in:Acta oto-laryngologica 1999, Vol.119 (5), p.517-521
Main Authors: KENTALA, E, PYYKKÖ, I, AURAMO, Y, LAURIKKALA, J, JUHOLA, M
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Biological and medical sciences
Cranial Nerve Neoplasms - diagnosis
Databases as Topic
Decision Making
Ear, auditive nerve, cochleovestibular tract, facial nerve: diseases, semeiology
Expert Systems
Follow-Up Studies
Fuzzy Logic
Hearing Loss, Sudden - diagnosis
Humans
Medical sciences
Meniere Disease - diagnosis
Neurilemmoma - diagnosis
Neuritis - diagnosis
Non tumoral diseases
Otorhinolaryngology. Stomatology
Pattern Recognition, Automated
Physicians
Problem Solving
Reproducibility of Results
Teaching - methods
Vertigo - diagnosis
Vertigo - physiopathology
Vestibular Nerve
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Summary:We have developed an otoneurological expert system (ONE) to aid the diagnostics of vertigo, to assist teaching and to implement a database for research. The ONE database is set to harvest data on patient history, signs and test results necessary for diagnostic work with vertiginous patients. A method based on pattern recognition was used in the reasoning process. Questions about symptoms, signs and test results are weighted and scored for each disease and the most likely disease is recognized from defined disease profiles. Missing information and uncertainties are solved with a method resembling fuzzy logic. ONE was validated by comparing diagnoses assessed by physicians with those provided by the system. It proved to be a valid decision-maker by solving 65% of the cases correctly, while the physicians' mean was 69%. To improve ONE further, a follow-up should be implemented for the patients, since diagnosing sudden deafness and Meniere's disease during the first visit is often impossible. We aim to obtain new information on diseases involving vertigo by applying adaptive computer applications, such as genetic algorithms, to the reasoning process.
ISSN:0001-6489
1651-2251
DOI:10.1080/00016489950180720