{"id":"https://openalex.org/W4406459442","doi":"https://doi.org/10.1109/bigdata62323.2024.10825951","title":"CRTRE: Causal Rule Generation with Target Trial Emulation Framework","display_name":"CRTRE: Causal Rule Generation with Target Trial Emulation Framework","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459442","doi":"https://doi.org/10.1109/bigdata62323.2024.10825951"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5068755602","display_name":"Junda Wang","orcid":"https://orcid.org/0009-0005-9998-7275"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junda Wang","raw_affiliation_strings":["University of Massachusetts,Amherst,MA,USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Amherst,MA,USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675608","display_name":"Weijian Li","orcid":"https://orcid.org/0000-0002-3538-7474"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weijian Li","raw_affiliation_strings":["University of Rochester,NY,USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452639","display_name":"Han Wang","orcid":"https://orcid.org/0000-0001-5121-3362"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["Shanghai Maritime University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Shanghai,China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040900346","display_name":"Hanjia Lyu","orcid":"https://orcid.org/0000-0002-3876-0094"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanjia Lyu","raw_affiliation_strings":["University of Rochester,NY,USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027809972","display_name":"Caroline P. Thirukumaran","orcid":"https://orcid.org/0000-0003-3316-0951"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caroline P. Thirukumaran","raw_affiliation_strings":["University of Rochester,NY,USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048374463","display_name":"Addisu Mesfin","orcid":"https://orcid.org/0000-0003-0076-4185"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Addisu Mesfin","raw_affiliation_strings":["University of Rochester,NY,USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507232","display_name":"Hongfang Yu","orcid":"https://orcid.org/0000-0002-5219-1780"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Yu","raw_affiliation_strings":["University of Massachusetts,Lowell,MA,USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts,Lowell,MA,USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester,NY,USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester,NY,USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5068755602"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26391346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"144","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9939000010490417,"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/emulation","display_name":"Emulation","score":0.8818950057029724},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651005208492279},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1222960352897644}],"concepts":[{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.8818950057029724},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651005208492279},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1222960352897644},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1507626491","https://openalex.org/W1596717185","https://openalex.org/W1990844260","https://openalex.org/W1999466943","https://openalex.org/W2014725748","https://openalex.org/W2046945713","https://openalex.org/W2064853889","https://openalex.org/W2072462334","https://openalex.org/W2077711231","https://openalex.org/W2128347581","https://openalex.org/W2135046866","https://openalex.org/W2143117649","https://openalex.org/W2155632266","https://openalex.org/W2295598076","https://openalex.org/W2298338128","https://openalex.org/W2420245003","https://openalex.org/W2595804071","https://openalex.org/W2637477912","https://openalex.org/W2754925663","https://openalex.org/W2800788706","https://openalex.org/W2807992610","https://openalex.org/W2888487581","https://openalex.org/W2900338737","https://openalex.org/W2945976633","https://openalex.org/W2964299886","https://openalex.org/W2982087762","https://openalex.org/W2996061341","https://openalex.org/W2997746169","https://openalex.org/W3015468748","https://openalex.org/W3016824580","https://openalex.org/W3035294872","https://openalex.org/W3080918539","https://openalex.org/W3083015236","https://openalex.org/W3101475827","https://openalex.org/W3131173073","https://openalex.org/W3133750713","https://openalex.org/W3150893739","https://openalex.org/W3169168872","https://openalex.org/W3169284847","https://openalex.org/W3180303049","https://openalex.org/W3210037261","https://openalex.org/W3210452206","https://openalex.org/W4205562077","https://openalex.org/W4213447687","https://openalex.org/W4221143523","https://openalex.org/W4237210482","https://openalex.org/W4238926671","https://openalex.org/W4241050402","https://openalex.org/W4251402925","https://openalex.org/W4288083420","https://openalex.org/W4288313203","https://openalex.org/W4292280760","https://openalex.org/W4304192668","https://openalex.org/W4311204752","https://openalex.org/W4313439128","https://openalex.org/W4382239991","https://openalex.org/W4392488868","https://openalex.org/W6628750762","https://openalex.org/W6647799530","https://openalex.org/W6683124652","https://openalex.org/W6717082673","https://openalex.org/W6739611833","https://openalex.org/W6755174428","https://openalex.org/W6765558359","https://openalex.org/W6776048684","https://openalex.org/W6796399376","https://openalex.org/W6803954805","https://openalex.org/W6862145329"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2154523322","https://openalex.org/W2083200807","https://openalex.org/W1603137082","https://openalex.org/W2364195017","https://openalex.org/W2355430452","https://openalex.org/W1951195060","https://openalex.org/W2049983405"],"abstract_inverted_index":{"Causal":[0],"inference":[1],"and":[2,88,107,120,127,153,162,172],"model":[3,114],"interpretability":[4],"are":[5],"gaining":[6],"increasing":[7],"attention,":[8],"particularly":[9],"in":[10,19],"the":[11,54,67,91,139,158,168],"biomedical":[12],"domain.":[13],"Despite":[14],"recent":[15],"advance,":[16],"decorrelating":[17],"features":[18],"nonlinear":[20],"environments":[21],"with":[22,39],"human-interpretable":[23],"representations":[24],"remains":[25],"underexplored.":[26],"In":[27],"this":[28],"study,":[29],"we":[30],"introduce":[31],"a":[32,99],"novel":[33],"method":[34,97],"called":[35],"causal":[36,55],"rule":[37],"generation":[38],"target":[40],"trial":[41,49],"emulation":[42],"framework":[43],"(CRT":[44],"RE),":[45],"which":[46],"applies":[47],"randomize":[48],"design":[50],"principles":[51],"to":[52],"estimate":[53],"effect":[56],"of":[57,73,102,117,149],"association":[58,64],"rules.":[59],"We":[60],"then":[61],"incorporate":[62],"such":[63,70],"rules":[65],"for":[66,122],"downstream":[68],"applications":[69],"as":[71],"prediction":[72,131,142],"disease":[74,86],"onsets.":[75],"Extensive":[76],"experiments":[77],"on":[78,151,155],"six":[79],"healthcare":[80],"datasets,":[81,112],"including":[82],"synthetic":[83],"data,":[84],"real-world":[85,111],"collections,":[87],"MIMIC-III/IV,":[89],"demonstrate":[90],"model\u2019s":[92,169],"superior":[93],"performance.":[94],"Specifically,":[95],"our":[96,113],"achieved":[98,115,145],"\u03b2":[100],"error":[101],"0.907,":[103],"outperforming":[104,157],"DWR":[105],"(1.024)":[106],"SVM":[108],"(1.141).":[109],"On":[110,138],"accuracies":[116],"0.789,":[118],"0.920,":[119],"0.300":[121],"Esophageal":[123],"Cancer,":[124],"Heart":[125],"Disease,":[126],"Cauda":[128],"Equina":[129],"Syndrome":[130],"task,":[132],"respectively,":[133],"consistently":[134],"surpassing":[135],"baseline":[136],"models.":[137],"ICD":[140],"code":[141],"tasks,":[143],"it":[144],"AUC":[146],"Macro":[147],"scores":[148],"92.8":[150],"MIMIC-III":[152],"96.7":[154],"MIMIC-IV,":[156],"state-of-the-art":[159],"models":[160],"KEPT":[161],"MSMN.":[163],"Expert":[164],"evaluations":[165],"further":[166],"validate":[167],"effectiveness,":[170],"causality,":[171],"interpretability.":[173]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}