[The use of artificial neuronal networks in the treatment of peptic ulcer].
Today the use of artificial neuronic nets (ANN) is the most perspective method in the prediction of clinical course and in the choice of correct therapeutic tactics. The experimental complex "Axon" with the software was created in the hospital that permitted to predict the course if gastric and duodenal ulcers. We introduced the data of 909 patients that contained the anamnesis, results of objective examination and late results of the treatment. These data has become the base for training and formation of ANN similar to the structure of human cerebral cortex. Having received the information about a new patient and using the previous experience of therapy of 909 patients mentioned above the trained ANN gives an accurate information concerning this patient. It is presented in the form of protocol of prognosis of ulcer clinical course, the probability of complication development, the results of conservative and surgical treatment. The protocol includes the conclusion with recommendations on the choice of therapeutic tactics.
Iu V
IuV
Nemytin
V P
VP
Petrov
V K
VK
Zuev
V V
VV
Osipov
S V
SV
Esin
S S
SS
Baryshev
D002908:Chronic Disease; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D010437:Peptic Ulcer / Q000150:complications / Q000175:diagnosis / Q000628:therapy*; D011379:Prognosis; D013813:Therapy, Computer-Assisted