Fuzzy systems approach to diagnosis in the ...



Title Fuzzy systems approach to diagnosis in the postpartum cow
Author(s) James E. C. Bellamy
Journal Journal of the American Veterinary Medical Association
Date 1997
Volume 210
Issue 3
Start page 397
End page 401
Abstract A computer-based fuzzy systems approach to diagnosis was compared with a standard rule-based approach for ability to diagnose 1 or more of 14 diseases in postpartum cows. A comparison between the 2 systems, using the same 12 input variables (clinical signs and laboratory measurements), resulted in 93% diagnostic agreement. Much of the study compared a fuzzy diagnostic system that had 12 input variables with a standard system that had 17 input variables. The results indicated that the fuzzy diagnostic system was more efficient to design (fewer rules), that the fuzzy system often provided a more accurate diagnosis, and that selection of input variables is critically important to diagnostic accuracy for any computer-based diagnostic system. The apparent advantages of fuzzy logic-based decision systems over standard rule-based methods of modeling the medical diagnostic process warrant continued study to determine limitations and other possible applications.

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