title: [Automation expert system for quantitative risk assessment in reconstructive surgical procedures on the large intestine].
abstract: The algorithm of quantitative estimation of operative risk while performing reconstructive-restoration colonic surgery was proposed. There was established high sensitivity and specificity of quantitative estimation of operative risk while application of a neuronet models, especially in usage of a neuronet owing two output neurons. While doing the operative risk estimation, using neuronets, the fault answers rate, as well as of unrecognized states, is trustworthy small, what permits to recommend the method for wide application.
authors.forename: V M
authors.initials: VM
authors.lastname: Kosovan
mesh_terms: D000465:Algorithms; D003125:Colostomy; D005103:Expert Systems / Q000295:instrumentation*; D006801:Humans; D007420:Intestine, Large / Q000601:surgery*; D008875:Middle Aged; D016571:Neural Networks, Computer; D019651:Plastic Surgery Procedures; D018570:Risk Assessment; D012680:Sensitivity and Specificity