FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4280493112> ?p ?o ?g. }

• W4280493112 endingPage "16" @default.
• W4280493112 startingPage "1" @default.
• W4280493112 abstract "Objective. Short-term or long-term connections between different diseases have not been fully acknowledged. This study was aimed at exploring the network association pattern between disorders that occurred in the same individual by using the association rule mining technique. Methods. Raw data were extracted from the large-scale electronic medical record database of the affiliated hospital of Xuzhou Medical University. 1551732 pieces of diagnosis information from 144207 patients were collected from 2015 to 2020. Clinic diagnoses were categorized according to “International Classification of Diseases, 10th revision”. The Apriori algorithm was used to explore the association patterns among those diagnoses. Results. 12889 rules were generated after running the algorithm at first. After threshold filtering and manual examination, 110 disease combinations ( <math xmlns=http://www.w3.org/1998/Math/MathML id=M1> <mtext>support</mtext> <mo>≥</mo> <mn>0.001</mn> </math> , <math xmlns=http://www.w3.org/1998/Math/MathML id=M2> <mtext>confidence</mtext> <mo>≥</mo> <mn>60</mn> <mi>%</mi> </math> , <math xmlns=http://www.w3.org/1998/Math/MathML id=M3> <mtext>lift</mtext> <mo>></mo> <mn>1</mn> </math> ) with strong association strength were obtained eventually. Association rules about the circulatory system and metabolic diseases accounted for a significant part of the results. Conclusion. This research elucidated the network associations between disorders from different body systems in the same individual and demonstrated the usefulness of the Apriori algorithm in comorbidity or multimorbidity studies. The mined combinations will be helpful in improving prevention strategies, early identification of high-risk populations, and reducing mortality." @default.
• W4280493112 created "2022-05-22" @default.
• W4280493112 creator A5019112889 @default.
• W4280493112 creator A5024238709 @default.
• W4280493112 creator A5060002817 @default.
• W4280493112 creator A5068736605 @default.
• W4280493112 date "2022-05-13" @default.
• W4280493112 modified "2023-10-05" @default.
• W4280493112 title "Connections between Various Disorders: Combination Pattern Mining Using Apriori Algorithm Based on Diagnosis Information from Electronic Medical Records" @default.
• W4280493112 cites W137371622 @default.
• W4280493112 cites W1487441853 @default.
• W4280493112 cites W1932640386 @default.
• W4280493112 cites W1970203561 @default.
• W4280493112 cites W2003034979 @default.
• W4280493112 cites W2005370325 @default.
• W4280493112 cites W2008910069 @default.
• W4280493112 cites W2046289361 @default.
• W4280493112 cites W2072348905 @default.
• W4280493112 cites W2120119690 @default.
• W4280493112 cites W2127514208 @default.
• W4280493112 cites W2399857759 @default.
• W4280493112 cites W2414804603 @default.
• W4280493112 cites W2602395506 @default.
• W4280493112 cites W2618431302 @default.
• W4280493112 cites W2621327210 @default.
• W4280493112 cites W2799298913 @default.
• W4280493112 cites W2799945421 @default.
• W4280493112 cites W2890976209 @default.
• W4280493112 cites W2903401301 @default.
• W4280493112 cites W2904115152 @default.
• W4280493112 cites W2949743199 @default.
• W4280493112 cites W2978889544 @default.
• W4280493112 cites W2980812422 @default.
• W4280493112 cites W2986878393 @default.
• W4280493112 cites W3004215055 @default.
• W4280493112 cites W3005835931 @default.
• W4280493112 cites W3012175847 @default.
• W4280493112 cites W3086041211 @default.
• W4280493112 cites W3087135856 @default.
• W4280493112 cites W3093181844 @default.
• W4280493112 cites W3102927519 @default.
• W4280493112 cites W3126854574 @default.
• W4280493112 cites W3130153679 @default.
• W4280493112 cites W3134444957 @default.
• W4280493112 cites W3162155731 @default.
• W4280493112 cites W3164758169 @default.
• W4280493112 cites W3203376456 @default.
• W4280493112 cites W4252097774 @default.
• W4280493112 cites W53696400 @default.
• W4280493112 doi "https://doi.org/10.1155/2022/2199317" @default.
• W4280493112 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35601156" @default.
• W4280493112 hasPublicationYear "2022" @default.
• W4280493112 type Work @default.
• W4280493112 citedByCount "4" @default.
• W4280493112 countsByYear W42804931122022 @default.
• W4280493112 countsByYear W42804931122023 @default.
• W4280493112 crossrefType "journal-article" @default.
• W4280493112 hasAuthorship W4280493112A5019112889 @default.
• W4280493112 hasAuthorship W4280493112A5024238709 @default.
• W4280493112 hasAuthorship W4280493112A5060002817 @default.
• W4280493112 hasAuthorship W4280493112A5068736605 @default.
• W4280493112 hasBestOaLocation W42804931121 @default.
• W4280493112 hasConcept C11413529 @default.
• W4280493112 hasConcept C116834253 @default.
• W4280493112 hasConcept C118552586 @default.
• W4280493112 hasConcept C119857082 @default.
• W4280493112 hasConcept C124101348 @default.
• W4280493112 hasConcept C126322002 @default.
• W4280493112 hasConcept C139002025 @default.
• W4280493112 hasConcept C142724271 @default.
• W4280493112 hasConcept C154945302 @default.
• W4280493112 hasConcept C193524817 @default.
• W4280493112 hasConcept C195910791 @default.
• W4280493112 hasConcept C2779159551 @default.
• W4280493112 hasConcept C41008148 @default.
• W4280493112 hasConcept C534262118 @default.
• W4280493112 hasConcept C59822182 @default.
• W4280493112 hasConcept C71924100 @default.
• W4280493112 hasConcept C81440476 @default.
• W4280493112 hasConcept C86803240 @default.
• W4280493112 hasConceptScore W4280493112C11413529 @default.
• W4280493112 hasConceptScore W4280493112C116834253 @default.
• W4280493112 hasConceptScore W4280493112C118552586 @default.
• W4280493112 hasConceptScore W4280493112C119857082 @default.
• W4280493112 hasConceptScore W4280493112C124101348 @default.
• W4280493112 hasConceptScore W4280493112C126322002 @default.
• W4280493112 hasConceptScore W4280493112C139002025 @default.
• W4280493112 hasConceptScore W4280493112C142724271 @default.
• W4280493112 hasConceptScore W4280493112C154945302 @default.
• W4280493112 hasConceptScore W4280493112C193524817 @default.
• W4280493112 hasConceptScore W4280493112C195910791 @default.
• W4280493112 hasConceptScore W4280493112C2779159551 @default.
• W4280493112 hasConceptScore W4280493112C41008148 @default.
• W4280493112 hasConceptScore W4280493112C534262118 @default.
• W4280493112 hasConceptScore W4280493112C59822182 @default.
• W4280493112 hasConceptScore W4280493112C71924100 @default.
• W4280493112 hasConceptScore W4280493112C81440476 @default.
• W4280493112 hasConceptScore W4280493112C86803240 @default.

• next