. "http://www.sciencedirect.com/science/article/pii/S187705091401165X" . . "000345394100151" . . "The article presents the main bases of artificial intelligence, probabilistic diagnostic methods, development of the diagnostic database and diagnostic base of knowledge and Bayesian networks as a base of the diagnostic self-learning systems which are commonly used in medicine to recognize diseases on the basis of symptoms. Probabilistic models of diagnostic networks are based on the Bayesian formulas. These formulas let us determine probabilities of causes on the basis of probabilities of results. This is the reason why databases must be created and adequate probabilities determined. Results of this research are then analyzed by means of statistical methods." . . "Gdynia Maritime Univ, KES Int" . . . "44333" . "Gdynia" . "Gdynia" . . "[EF9BF28A593A]" . . "artificial intelligence; self-learning Bayesian networks; medical diagnostic; diagnostic systems; databases; simulation"@en . . . "2014-09-15+02:00"^^ . "SUCH\u00C1NEK, Petr" . "Self-learning Bayesian Networks in Diagnosis"@en . "Self-learning Bayesian Networks in Diagnosis"@en . "BUCKI, Robert" . . . "10"^^ . "Self-learning Bayesian Networks in Diagnosis" . "KNOWLEDGE-BASED AND INTELLIGENT INFORMATION @ ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014" . . "19520" . "Self-learning Bayesian Networks in Diagnosis" . . . "1"^^ . . "RIV/47813059:19520/14:#0002597!RIV15-MSM-19520___" . "O" . "1877-0509" . . . "10.1016/j.procs.2014.08.200" . "MARECKI, Franciszek" . "RIV/47813059:19520/14:#0002597" . "The article presents the main bases of artificial intelligence, probabilistic diagnostic methods, development of the diagnostic database and diagnostic base of knowledge and Bayesian networks as a base of the diagnostic self-learning systems which are commonly used in medicine to recognize diseases on the basis of symptoms. Probabilistic models of diagnostic networks are based on the Bayesian formulas. These formulas let us determine probabilities of causes on the basis of probabilities of results. This is the reason why databases must be created and adequate probabilities determined. Results of this research are then analyzed by means of statistical methods."@en . "3"^^ .