RESUMO
Use of modern information technologies in combination with fuzzy decision logic makes it possible to generate prognostic models for high-confidence determination of the risk of post-surgery complications in urological patients. Problems of use of automated decision support systems based on fuzzy models for improving the accuracy of prediction of post-surgery complications in urological patients are discussed.
Assuntos
Algoritmos , Modelos Biológicos , Complicações Pós-Operatórias/diagnóstico , Doenças Urológicas/cirurgia , Procedimentos Cirúrgicos Urológicos/efeitos adversos , Inteligência Artificial , Simulação por Computador , Tomada de Decisões Assistida por Computador , Lógica Fuzzy , Humanos , Masculino , Prognóstico , Hiperplasia Prostática/cirurgia , Ressecção Transuretral da Próstata/efeitos adversosRESUMO
Problems of engineering and algorithm development of magnetic therapy apparatuses with pseudo-random radiation spectrum within the audio range for treatment of prostatitis and gynecopathies are considered. A typical design based on a PIC 16F microcontroller is suggested. It includes a keyboard, LCD indicator, audio amplifier, inducer, and software units. The problem of pseudo-random signal generation within the audio range is considered. A series of rectangular pulses is generated on a random-length interval on the basis of a three-component random vector. This series provides the required spectral characteristics of the therapeutic magnetic field and their adaptation to the therapeutic conditions and individual features of the patient.
