Matches in SemOpenAlex for { <https://semopenalex.org/work/W82545430> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W82545430 abstract "Bayesian networks (BNs) are rapidly becoming a tool of choice for applied Artificial Intelligence. Although BNs have been successfully used for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data, specifically assessment of risk for coronary heart disease (CHD). We build the BNs: (1) by knowledge engineering BNs from two epidemiological models of CHD in the literature; (2) by applying a causal BN learner. We evaluate these BNs using cross-validation. We compared performance in predicting CHD events over 10 years, measuring area under the ROC curve and Bayesian information reward. The knowledge engineered BNs performed as well as logistic regression, while being easier to interpret. These BNs will serve as the baseline in future efforts to extend BN technology to better handle epidemiological data, specifically to predict and prevent CHD." @default.
- W82545430 created "2016-06-24" @default.
- W82545430 creator A5057379795 @default.
- W82545430 creator A5059359207 @default.
- W82545430 creator A5059657954 @default.
- W82545430 creator A5088342590 @default.
- W82545430 date "2005-01-01" @default.
- W82545430 modified "2023-09-27" @default.
- W82545430 title "Data mining cardiovascular Bayesian networks" @default.
- W82545430 cites W1491105692 @default.
- W82545430 cites W1528353690 @default.
- W82545430 cites W1563779243 @default.
- W82545430 cites W1591028080 @default.
- W82545430 cites W1593793857 @default.
- W82545430 cites W1602576879 @default.
- W82545430 cites W174411717 @default.
- W82545430 cites W179935495 @default.
- W82545430 cites W1980452149 @default.
- W82545430 cites W1982080117 @default.
- W82545430 cites W1989020770 @default.
- W82545430 cites W2045903770 @default.
- W82545430 cites W2113214579 @default.
- W82545430 cites W2115000855 @default.
- W82545430 cites W2123504579 @default.
- W82545430 cites W2125443492 @default.
- W82545430 cites W2145657805 @default.
- W82545430 cites W2149120110 @default.
- W82545430 cites W2167277498 @default.
- W82545430 cites W2214353828 @default.
- W82545430 cites W2456308 @default.
- W82545430 cites W2788357305 @default.
- W82545430 cites W2966207845 @default.
- W82545430 cites W32516901 @default.
- W82545430 cites W6921400 @default.
- W82545430 hasPublicationYear "2005" @default.
- W82545430 type Work @default.
- W82545430 sameAs 82545430 @default.
- W82545430 citedByCount "6" @default.
- W82545430 crossrefType "journal-article" @default.
- W82545430 hasAuthorship W82545430A5057379795 @default.
- W82545430 hasAuthorship W82545430A5059359207 @default.
- W82545430 hasAuthorship W82545430A5059657954 @default.
- W82545430 hasAuthorship W82545430A5088342590 @default.
- W82545430 hasConcept C107130276 @default.
- W82545430 hasConcept C107673813 @default.
- W82545430 hasConcept C119857082 @default.
- W82545430 hasConcept C124101348 @default.
- W82545430 hasConcept C126322002 @default.
- W82545430 hasConcept C151956035 @default.
- W82545430 hasConcept C154945302 @default.
- W82545430 hasConcept C2522767166 @default.
- W82545430 hasConcept C33724603 @default.
- W82545430 hasConcept C41008148 @default.
- W82545430 hasConcept C71924100 @default.
- W82545430 hasConceptScore W82545430C107130276 @default.
- W82545430 hasConceptScore W82545430C107673813 @default.
- W82545430 hasConceptScore W82545430C119857082 @default.
- W82545430 hasConceptScore W82545430C124101348 @default.
- W82545430 hasConceptScore W82545430C126322002 @default.
- W82545430 hasConceptScore W82545430C151956035 @default.
- W82545430 hasConceptScore W82545430C154945302 @default.
- W82545430 hasConceptScore W82545430C2522767166 @default.
- W82545430 hasConceptScore W82545430C33724603 @default.
- W82545430 hasConceptScore W82545430C41008148 @default.
- W82545430 hasConceptScore W82545430C71924100 @default.
- W82545430 hasLocation W825454301 @default.
- W82545430 hasOpenAccess W82545430 @default.
- W82545430 hasPrimaryLocation W825454301 @default.
- W82545430 hasRelatedWork W116046822 @default.
- W82545430 hasRelatedWork W1518653822 @default.
- W82545430 hasRelatedWork W1524016307 @default.
- W82545430 hasRelatedWork W1566768190 @default.
- W82545430 hasRelatedWork W2059652408 @default.
- W82545430 hasRelatedWork W2109185013 @default.
- W82545430 hasRelatedWork W2118421206 @default.
- W82545430 hasRelatedWork W2148185102 @default.
- W82545430 hasRelatedWork W2191755155 @default.
- W82545430 hasRelatedWork W2273823388 @default.
- W82545430 hasRelatedWork W2510068376 @default.
- W82545430 hasRelatedWork W2533982810 @default.
- W82545430 hasRelatedWork W2546287996 @default.
- W82545430 hasRelatedWork W2607759416 @default.
- W82545430 hasRelatedWork W2625660771 @default.
- W82545430 hasRelatedWork W2749337119 @default.
- W82545430 hasRelatedWork W2997445090 @default.
- W82545430 hasRelatedWork W3162489320 @default.
- W82545430 hasRelatedWork W3197367721 @default.
- W82545430 hasRelatedWork W63343513 @default.
- W82545430 isParatext "false" @default.
- W82545430 isRetracted "false" @default.
- W82545430 magId "82545430" @default.
- W82545430 workType "article" @default.