Abstract
The optokinetic pattern test for optokinetic nystagmus is performed to diagnose equilibrium disorders on clinical examination. We constructed computer assisted instruction (CAI) algorithm based on knowledge of expert for optokinetic pattern (OKP) diagnosis theoretically based Fuzzy reasoning derived from Fuzzy theory to ascertain the possible application of CAI to OKP and to develop a useful diagnostic tool. The algorithm was constructed by rules of fuzzy reasoning using analysed data of diagnostic modes of one expert, consisting of six variables, and of 30 normal and 22 abnormal patterns of optokinetic nystagmus which were diagnosed by the expert. The results derived from the fuzzy reasoning and those obtained by expert agreed with 96% in this test battery. In addition, a consistency of 87.3% was obtained after comparison with another 251 OKP patterns which diagnosed by the same expert and estimated by this algorithm. This algorithm incorporating fuzzy theory is concluded to be useful in obtaining results of the same as those of an expert for diagnosing the equilibrium disorders. Furthermore, CAI using Fuzzy theory is confirmed to have good potential as a diagnostic tools.
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