title: [Possibility to reveal signs of occupational respiratory diseases through acoustic spiroanalyzer and probabilistic neuronal networks].
abstract: The authors described acoustic spiroanalyzer with data processing through probabilistic neuronal networks. Application of the spiroanalyzer for respiratory diseases diagnosis proved possibility of occupational diseases identification: classification reliability was 78% for diseased and 77% for healthy miners.
authors.forename: S Z
authors.initials: SZ
authors.lastname: Shkundin
authors.forename: I V
authors.initials: IV
authors.lastname: Stepanian
mesh_terms: D003937:Diagnosis, Differential; D006801:Humans; D016571:Neural Networks, Computer; D009784:Occupational Diseases / Q000175:diagnosis* / Q000503:physiopathology; D015203:Reproducibility of Results; D012140:Respiratory Tract Diseases / Q000175:diagnosis* / Q000503:physiopathology; D013147:Spirometry / Q000295:instrumentation