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Application of bayesian approach for diagnostics of neuromuscular diseases

Keywords:

N. T. Abdullaev – Ph.D. (Eng.), Associate Professor, Head of Department of Radio Systems and Television, Azerbaijani Technical University (Baku)
O. A. Dyshin – Ph.D. (Phys.-Math.), Senior Research Scientist, Azerbaijani State Oil Academy, Geotechnological Problems of Oil, Gas and Chemistry (Baku)
G. E. Abdullaeva – Dr.Sc. (Eng.), Professor, MGUPI


Among the statistical methods used in medicine for diagnostics of different types of a disease widely Bayesian approach is used. At application of a Bayesian method for diagnostics of a number of neuromuscular diseases the main problem in case of lack of a statistical database consists in calculation of conditional probabilities of values of diagnostic signs of the received simptomokompleks of the specific patient. It is offered to define conditional probabilities of values of diagnostic signs from the received simptomokompleks on the basis of rules of the indistinct produktion, fuzzy logic used in technology. The received values are used in Bayes's formula for calculation of probability of an illness at the studied patient.
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