{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T05:02:34Z","timestamp":1732597354282,"version":"3.28.0"},"reference-count":14,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2020,4,12]],"date-time":"2020-04-12T00:00:00Z","timestamp":1586649600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002809","name":"Generalitat de Catalunya","doi-asserted-by":"publisher","award":["2017SGR-856"],"id":[{"id":"10.13039\/501100002809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence"],"published-print":{"date-parts":[[2021,11]]},"abstract":"Summary<\/jats:title>We demonstrate how graph decomposition techniques can be employed for the visualization of hierarchical co\u2010occurrence patterns between medical data items. Our research is based on Gaifman graphs (a mathematical concept introduced in Logic), on specific variants of this concept, and on existing graph decomposition notions, specifically, graph modules and the clan decomposition of so\u2010called 2\u2010structures. The construction of the Gaifman graphs from a dataset is based on co\u2010occurrence, or lack of it, of items in the dataset. We may select a discretization on the edge labels to aim at one among several Gaifman graph variants. Then, the decomposition of the graph may provide us with visual information about the data co\u2010occurrences, after which one can proceed to more traditional statistical analysis.<\/jats:p>","DOI":"10.1111\/coin.12317","type":"journal-article","created":{"date-parts":[[2020,4,13]],"date-time":"2020-04-13T03:38:29Z","timestamp":1586749109000},"page":"1499-1514","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Co\u2010occurrence patterns in diagnostic data"],"prefix":"10.1111","volume":"37","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-9435-0479","authenticated-orcid":false,"given":"Marie Ely","family":"Piceno","sequence":"first","affiliation":[{"name":"Computer Science Department Universitat Polit\u00e8cnica de Catalunya (UPC) Barcelona Spain"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-4929-1219","authenticated-orcid":false,"given":"Laura","family":"Rodr\u00edguez\u2010Navas","sequence":"additional","affiliation":[{"name":"Life Sciences Department Barcelona Supercomputing Center (BSC) Barcelona Spain"}]},{"given":"Jos\u00e9 Luis","family":"Balc\u00e1zar","sequence":"additional","affiliation":[{"name":"Computer Science Department Universitat Polit\u00e8cnica de Catalunya (UPC) Barcelona Spain"}]}],"member":"311","published-online":{"date-parts":[[2020,4,12]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0701361104"},{"key":"e_1_2_8_3_1","unstructured":"WysockiK RitterL.Diseasome: An Approach to Understanding Gene\u2010Disease Interactions: National Center of Biotechnology Information;2011.https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/22891498."},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2015.7344870"},{"volume-title":"Models and Algorithms Lecture Notes in Computer Science","year":"2002","author":"Chengqi Z","key":"e_1_2_8_5_1"},{"issue":"6","key":"e_1_2_8_6_1","first-page":"382","article-title":"Frequent itemset mining:A25\u2009years review","volume":"9","author":"Mar\u00eda Luna Jos\u00e9","year":"2019","journal-title":"Wiley Interdiscip. 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Poster Accepted for Presentation."},{"volume-title":"Introduction to Data Mining","year":"2018","author":"Tan P\u2010N","key":"e_1_2_8_14_1"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/1097\u2010024X(200009)30:11<1203::AID\u2010SPE338>3.3.CO;2\u2010E"}],"container-title":["Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1111%2Fcoin.12317","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/coin.12317","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/coin.12317","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/coin.12317","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,25]],"date-time":"2024-11-25T05:17:24Z","timestamp":1732511844000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/coin.12317"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,12]]},"references-count":14,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2021,11]]}},"alternative-id":["10.1111\/coin.12317"],"URL":"https:\/\/doi.org\/10.1111\/coin.12317","archive":["Portico"],"relation":{},"ISSN":["0824-7935","1467-8640"],"issn-type":[{"type":"print","value":"0824-7935"},{"type":"electronic","value":"1467-8640"}],"subject":[],"published":{"date-parts":[[2020,4,12]]},"assertion":[{"value":"2019-09-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-03-10","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-04-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}