{"id":"https://openalex.org/W3048898492","doi":"https://doi.org/10.1109/tetci.2020.3010017","title":"CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data","display_name":"CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data","publication_year":2020,"publication_date":"2020-08-10","ids":{"openalex":"https://openalex.org/W3048898492","doi":"https://doi.org/10.1109/tetci.2020.3010017","mag":"3048898492"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2020.3010017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2020.3010017","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5021438219","display_name":"Jiang Bian","orcid":"https://orcid.org/0000-0001-6997-1989"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Bian","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0001-6997-1989","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583047","display_name":"Sijia Yang","orcid":"https://orcid.org/0009-0000-2721-3952"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sijia Yang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081254155","display_name":"Haoyi Xiong","orcid":"https://orcid.org/0000-0002-5451-3253"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyi Xiong","raw_affiliation_strings":["Big Data Lab, Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data Lab, Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736219","display_name":"Licheng Wang","orcid":"https://orcid.org/0000-0001-8418-1897"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Wang","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8418-1897","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["Department of Computer Science, University of Central Florida, Orlando, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060424624","display_name":"Zeyi Sun","orcid":"https://orcid.org/0000-0003-0704-2708"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyi Sun","raw_affiliation_strings":["Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, USA"],"raw_orcid":"https://orcid.org/0000-0003-0704-2708","affiliations":[{"raw_affiliation_string":"Department of Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067621571","display_name":"Zhishan Guo","orcid":"https://orcid.org/0000-0002-5967-1058"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhishan Guo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA"],"raw_orcid":"https://orcid.org/0000-0002-5967-1058","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69725906,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"4","first_page":"541","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9983999729156494,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9297000169754028,"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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.9244999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7054851055145264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6473073959350586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.591347873210907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5238237977027893},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4702507555484772},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.42906442284584045},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41387826204299927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3615760803222656}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7054851055145264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473073959350586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.591347873210907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238237977027893},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4702507555484772},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.42906442284584045},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41387826204299927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3615760803222656},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2020.3010017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2020.3010017","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1512208174","https://openalex.org/W1512511032","https://openalex.org/W1512798931","https://openalex.org/W1524068846","https://openalex.org/W1525725047","https://openalex.org/W1535602073","https://openalex.org/W1567728150","https://openalex.org/W1596717185","https://openalex.org/W1602107991","https://openalex.org/W1643965349","https://openalex.org/W1956509155","https://openalex.org/W1965701254","https://openalex.org/W1968717832","https://openalex.org/W1971059404","https://openalex.org/W1973066300","https://openalex.org/W1973948212","https://openalex.org/W1977177161","https://openalex.org/W1985329916","https://openalex.org/W1998255116","https://openalex.org/W2005464046","https://openalex.org/W2012937121","https://openalex.org/W2013827052","https://openalex.org/W2045654603","https://openalex.org/W2046649434","https://openalex.org/W2054141820","https://openalex.org/W2056636001","https://openalex.org/W2058046352","https://openalex.org/W2074656429","https://openalex.org/W2100235169","https://openalex.org/W2119794178","https://openalex.org/W2121227244","https://openalex.org/W2123749188","https://openalex.org/W2130698119","https://openalex.org/W2131425673","https://openalex.org/W2132555912","https://openalex.org/W2135046866","https://openalex.org/W2135293965","https://openalex.org/W2140054106","https://openalex.org/W2140514146","https://openalex.org/W2144354855","https://openalex.org/W2148603752","https://openalex.org/W2151128232","https://openalex.org/W2216133675","https://openalex.org/W2259024711","https://openalex.org/W2291529341","https://openalex.org/W2296319761","https://openalex.org/W2343948866","https://openalex.org/W2605564099","https://openalex.org/W2898947732","https://openalex.org/W2919538836","https://openalex.org/W2944467232","https://openalex.org/W2962904036","https://openalex.org/W2964112933","https://openalex.org/W2966515423","https://openalex.org/W2983639458","https://openalex.org/W2985615988","https://openalex.org/W2989431519","https://openalex.org/W2998340221","https://openalex.org/W3007132260","https://openalex.org/W3098745759","https://openalex.org/W3103042558","https://openalex.org/W3124158341","https://openalex.org/W4213251304","https://openalex.org/W4238240379","https://openalex.org/W4250589301","https://openalex.org/W4253291352","https://openalex.org/W4298293704","https://openalex.org/W6630833909","https://openalex.org/W6631362052","https://openalex.org/W6678277124","https://openalex.org/W6679676526","https://openalex.org/W6682227116","https://openalex.org/W6688690049"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0,187],"availability":[1],"of":[2,49,64,72,79,105,144,151,168,197],"Electronic":[3],"Health":[4],"Records":[5],"(EHR)":[6],"in":[7,36,111,137,174,195],"health":[8,162],"care":[9],"settings":[10,140],"has":[11,40],"provided":[12],"tremendous":[13],"opportunities":[14],"for":[15,27,61,141],"early":[16,30],"disease":[17,29],"detection.":[18],"While":[19,84],"many":[20],"supervised":[21],"learning":[22,39],"models":[23],"have":[24],"been":[25],"adopted":[26],"EHR-based":[28],"detection,":[31],"the":[32,37,47,70,106,117,134,138,175],"ill-posed":[33,139],"inverse":[34],"problem":[35],"parameter":[38],"imposed":[41],"a":[42,98,154],"significant":[43],"challenge":[44],"on":[45,77],"improving":[46],"accuracy":[48,143,198],"these":[50],"algorithms.":[51],"In":[52],"this":[53,126],"paper,":[54],"we":[55],"propose":[56],"CRLEDD":[57,96,128,152,179,191],"-":[58],"Causality-Regularized":[59],"Learning":[60],"Early":[62],"Detection":[63],"Disease,":[65],"an":[66],"algorithm":[67],"to":[68,92,132,159],"improve":[69,93],"performance":[71],"Linear":[73],"Discriminant":[74],"Analysis":[75],"(LDA)":[76],"top":[78],"diagnosis-frequency":[80],"vector":[81],"data":[82],"representation.":[83],"most":[85],"existing":[86],"regularization":[87,91,119],"methods":[88],"exploit":[89],"sparsity":[90],"detection":[94],"performance,":[95],"provides":[97],"unique":[99],"perspective":[100],"by":[101],"ensuring":[102],"positive":[103],"semi-definiteness":[104],"sparsified":[107],"precision":[108,135],"matrix":[109,136],"used":[110],"LDA":[112,145,183],"which":[113],"is":[114],"different":[115],"from":[116,171],"regular":[118],"method":[120],"(e.g.,":[121,164],"L2":[122],"regularization).":[123],"To":[124],"achieve":[125],"goal,":[127],"employs":[129],"Graphical":[130],"Lasso":[131],"estimate":[133],"enhanced":[142],"classifiers.":[146,186],"We":[147,177],"perform":[148],"extensive":[149],"evaluation":[150],"using":[153],"large-scale":[155],"real-world":[156],"EHR":[157],"dataset":[158],"predict":[160],"mental":[161],"disorders":[163],"depression":[165],"and":[166,184,199],"anxiety)":[167],"college":[169],"students":[170],"10":[172],"universities":[173],"U.S.":[176],"compare":[178],"with":[180],"other":[181],"regularized":[182],"downstream":[185],"result":[188],"shows":[189],"that":[190],"outperforms":[192],"all":[193],"baselines":[194],"terms":[196],"F1":[200],"scores.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}