{"id":"https://openalex.org/W1965543392","doi":"https://doi.org/10.1145/2808719.2816983","title":"Learning causal structures with background knowledge in health data","display_name":"Learning causal structures with background knowledge in health data","publication_year":2015,"publication_date":"2015-09-09","ids":{"openalex":"https://openalex.org/W1965543392","doi":"https://doi.org/10.1145/2808719.2816983","mag":"1965543392"},"language":"en","primary_location":{"id":"doi:10.1145/2808719.2816983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808719.2816983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069511990","display_name":"Yiheng Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiheng Liang","raw_affiliation_strings":["University of North Texas, Denton, Texas","university of north texas , Denton, Texas,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas, Denton, Texas","institution_ids":["https://openalex.org/I123534392"]},{"raw_affiliation_string":"university of north texas , Denton, Texas,","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027436681","display_name":"Armin R. Mikler","orcid":"https://orcid.org/0000-0002-5253-144X"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Armin R. Mikler","raw_affiliation_strings":["University of North Texas, Denton, Texas","university of north texas , Denton, Texas,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas, Denton, Texas","institution_ids":["https://openalex.org/I123534392"]},{"raw_affiliation_string":"university of north texas , Denton, Texas,","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04211541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"676","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.7861711978912354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371829509735107},{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.6111124753952026},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.6103228330612183},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.586622953414917},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5377846360206604},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5215092301368713},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.5017592906951904},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4839675724506378},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.48362958431243896},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.48237600922584534},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.4806043803691864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4598364233970642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4238210618495941},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.41663622856140137},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.24177929759025574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16538050770759583},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16103720664978027},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.146535724401474},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.12258133292198181}],"concepts":[{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.7861711978912354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371829509735107},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.6111124753952026},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.6103228330612183},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.586622953414917},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5377846360206604},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5215092301368713},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.5017592906951904},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4839675724506378},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.48362958431243896},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.48237600922584534},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.4806043803691864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4598364233970642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4238210618495941},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.41663622856140137},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.24177929759025574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16538050770759583},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16103720664978027},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.146535724401474},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.12258133292198181},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808719.2816983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808719.2816983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3215034539","https://openalex.org/W2161504683","https://openalex.org/W4386620154","https://openalex.org/W4389961576","https://openalex.org/W4294555408","https://openalex.org/W4372260129","https://openalex.org/W1153243621","https://openalex.org/W4299782962","https://openalex.org/W4386839885","https://openalex.org/W2780950403"],"abstract_inverted_index":{"Causal":[0],"analysis":[1],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,14,35,41,45,79,110,137],"health":[7,143],"informatics":[8],"research.":[9,145],"Many":[10],"publicly":[11],"available":[12],"data":[13],"health,":[15],"medicine,":[16],"and":[17,21,142],"epidemiology":[18],"are":[19,69,82,89],"non-temporal":[20],"observational.":[22],"Therefore,":[23],"there":[24,88],"is":[25,62,120],"a":[26,90],"particular":[27],"field":[28],"of":[29,67,135],"interests":[30],"to":[31,51],"explore":[32],"causal":[33,54,74,92,129],"relationships":[34,75,93],"observational":[36],"data.":[37],"The":[38,108],"research":[39,123],"advance":[40],"computer":[42],"science,":[43],"particularly":[44],"learning":[46,61,112,128],"Bayesian":[47],"networks":[48],"enables":[49],"investigators":[50],"discover":[52],"possible":[53],"structures":[55,130],"through":[56],"statistical":[57],"testing.":[58],"However,":[59],"exact":[60],"infeasible":[63],"when":[64,117],"the":[65,80,85],"number":[66],"variables":[68,78,136],"large.":[70],"On":[71,84],"one":[72],"hand,":[73,87],"for":[76,127],"most":[77],"dataset":[81],"unknown.":[83],"other":[86],"few":[91],"verified":[94],"by":[95],"medical":[96],"experiments,":[97],"confirmed":[98],"from":[99],"existing":[100],"knowledge,":[101],"or":[102],"practically":[103],"utilized":[104],"under":[105],"reasonable":[106],"assumptions.":[107],"difficulty":[109],"structural":[111],"process":[113],"can":[114],"be":[115],"reduced":[116],"variables'":[118],"ordering":[119],"known.":[121],"This":[122],"presents":[124],"novel":[125],"methods":[126],"with":[131,139],"partially":[132],"known":[133],"orderings":[134],"combination":[138],"epidemiological":[140],"background":[141],"science":[144]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}