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Statements

Subject Item
n2:RIV%2F47813059%3A19520%2F14%3A%230002597%21RIV15-MSM-19520___
rdf:type
n9:Vysledek skos:Concept
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S187705091401165X
dcterms: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.
dcterms:title
Self-learning Bayesian Networks in Diagnosis Self-learning Bayesian Networks in Diagnosis
skos:prefLabel
Self-learning Bayesian Networks in Diagnosis Self-learning Bayesian Networks in Diagnosis
skos:notation
RIV/47813059:19520/14:#0002597!RIV15-MSM-19520___
n3:aktivita
n20:O
n3:aktivity
O
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n12:2015
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n6:5775086
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n16:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
44333
n3:idVysledku
RIV/47813059:19520/14:#0002597
n3:jazykVysledku
n18:eng
n3:klicovaSlova
artificial intelligence; self-learning Bayesian networks; medical diagnostic; diagnostic systems; databases; simulation
n3:klicoveSlovo
n7:simulation n7:diagnostic%20systems n7:self-learning%20Bayesian%20networks n7:medical%20diagnostic n7:databases n7:artificial%20intelligence
n3:kontrolniKodProRIV
[EF9BF28A593A]
n3:mistoKonaniAkce
Gdynia
n3:mistoVydani
Gdynia
n3:nazevZdroje
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION @ ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014
n3:obor
n14:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n12:2014
n3:tvurceVysledku
SUCHÁNEK, Petr BUCKI, Robert MARECKI, Franciszek
n3:typAkce
n19:WRD
n3:wos
000345394100151
n3:zahajeniAkce
2014-09-15+02:00
s:issn
1877-0509
s:numberOfPages
10
n21:doi
10.1016/j.procs.2014.08.200
n10:hasPublisher
Gdynia Maritime Univ, KES Int
n17:organizacniJednotka
19520