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Biomedical subjects

V G Shchetinin

Publications and source records attributed to V G Shchetinin.

3 recordsLinked to original sources

[Differential diagnosis using artificial neuronal networks].

In order to rule out the effects of subjective factors and decrease the number of diagnostic errors, artificial neuron nets are proposed. By means of these nets the subjective and half-empirical heuristics are replaced with rational diagnostic information based on quantitative and logic analysis. The proposed method was used for deriving the decisive regularities ensuring the differential diagnosis between infective endocarditis and active rheumatic fever, infective endocarditis and systemic lupus erythematosus, and systemic lupus erythematosus and active rheumatic fever. Reliability of diagnostic tables representing the decisive regularities in the usual form is confirmed by clinical data.

Diagnosis, Computer-Assisted↗

[Formation of diagnostic rules by using neural networks].

Neural networks were trained on unrepresentative patient data sets proposed by skilled clinicians. In all cases, the trained neural networks correctly classified all presented cases. There were 2 intervals introduced for encoding estimates. The number of both signs and neurons in the trained neural networks was minimized. The trained neural networks adequately represent a set of logical formulas that are easy to perceive. These formulas are similar to syndrome complexes, they can be tabulated and presented as diagnostic tables the physicians usually use. The proposed decisions are accompanied by the estimates of their affinity, which allows their validity to be controlled. The clinical studies performed showed that the proposed decisions were in good agreement with medical conclusions in most cases (over 88%).

Cardiomyopathies↗