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Description
  • 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.
  • 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)
Title
  • Self-learning Bayesian Networks in Diagnosis
  • Self-learning Bayesian Networks in Diagnosis (en)
skos:prefLabel
  • Self-learning Bayesian Networks in Diagnosis
  • Self-learning Bayesian Networks in Diagnosis (en)
skos:notation
  • RIV/47813059:19520/14:#0002597!RIV15-MSM-19520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • O
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 44333
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19520/14:#0002597
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • artificial intelligence; self-learning Bayesian networks; medical diagnostic; diagnostic systems; databases; simulation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [EF9BF28A593A]
http://linked.open...v/mistoKonaniAkce
  • Gdynia
http://linked.open...i/riv/mistoVydani
  • Gdynia
http://linked.open...i/riv/nazevZdroje
  • KNOWLEDGE-BASED AND INTELLIGENT INFORMATION @ ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • SUCHÁNEK, Petr
  • BUCKI, Robert
  • MARECKI, Franciszek
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000345394100151
http://linked.open.../riv/zahajeniAkce
issn
  • 1877-0509
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.procs.2014.08.200
http://purl.org/ne...btex#hasPublisher
  • Gdynia Maritime Univ, KES Int
http://localhost/t...ganizacniJednotka
  • 19520
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