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Register a new userDevelopment of a sensory-neural network for medical diagnosing
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Added by
Igor Grabec Prof.
Publication date
2018
fields
Informatics Engineering
and research's language is
English
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Performance of a sensory-neural network developed for diagnosing of diseases is described. Information about patients condition is provided by answers to the questionnaire. Questions correspond to sensors generating signals when patients acknowledge symptoms. These signals excite neurons in which characteristics of the diseases are represented by synaptic weights associated with indicators of symptoms. The disease corresponding to the most excited neuron is proposed as the result of diagnosing. Its reliability is estimated by the likelihood defined by the ratio of excitation of the most excited neuron and the complete neural network.
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