{"id":"https://openalex.org/W4379351607","doi":"https://doi.org/10.1145/3583788.3583817","title":"CascadeTransformer: Multi-label Classification with Transformer in Chronic Disease Prediction","display_name":"CascadeTransformer: Multi-label Classification with Transformer in Chronic Disease Prediction","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4379351607","doi":"https://doi.org/10.1145/3583788.3583817"},"language":"en","primary_location":{"id":"doi:10.1145/3583788.3583817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583788.3583817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","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/A5101416003","display_name":"Bo Zeng","orcid":"https://orcid.org/0000-0002-4681-6828"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Zeng","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-4681-6828","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009537215","display_name":"Donghai Zhai","orcid":"https://orcid.org/0000-0001-8396-5710"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghai Zhai","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0001-8396-5710","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010159266","display_name":"Bo Peng","orcid":"https://orcid.org/0000-0002-8694-5106"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0000-0002-8694-5106","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101749121","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0003-1283-0397"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210089761","display_name":"West China Hospital of Sichuan University","ror":"https://ror.org/007mrxy13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210089761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Department of General Practice, West China Hospital of Sichuan University, China"],"raw_orcid":"https://orcid.org/0000-0003-1283-0397","affiliations":[{"raw_affiliation_string":"Department of General Practice, West China Hospital of Sichuan University, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210089761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101416003"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53671692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9977999925613403,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.6512868404388428},{"id":"https://openalex.org/keywords/chronic-disease","display_name":"Chronic disease","score":0.5976574420928955},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.59237140417099},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5894678235054016},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5492050051689148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5324678421020508},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.48667532205581665},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43661805987358093},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43411359190940857},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38091841340065},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3483937680721283},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.2453344166278839},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1626809537410736},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10380956530570984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6512868404388428},{"id":"https://openalex.org/C2987552334","wikidata":"https://www.wikidata.org/wiki/Q383126","display_name":"Chronic disease","level":2,"score":0.5976574420928955},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.59237140417099},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5894678235054016},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5492050051689148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5324678421020508},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.48667532205581665},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43661805987358093},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43411359190940857},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38091841340065},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3483937680721283},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.2453344166278839},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1626809537410736},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10380956530570984},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583788.3583817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583788.3583817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G2450772707","display_name":null,"funder_award_id":"No. 61961038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G368750130","display_name":null,"funder_award_id":"No. 2021YFS0014","funder_id":"https://openalex.org/F4320336596","funder_display_name":"Key Research and Development Program of Sichuan Province"},{"id":"https://openalex.org/G962679174","display_name":null,"funder_award_id":"No. 2022NSFSC0502","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320336596","display_name":"Key Research and Development Program of Sichuan Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W54887220","https://openalex.org/W347727386","https://openalex.org/W1992650721","https://openalex.org/W1999954155","https://openalex.org/W2009985472","https://openalex.org/W2114315281","https://openalex.org/W2145827727","https://openalex.org/W2153653693","https://openalex.org/W2279689406","https://openalex.org/W2898085636","https://openalex.org/W2988260770","https://openalex.org/W3009535750","https://openalex.org/W3042679019","https://openalex.org/W3101704389","https://openalex.org/W3137532457","https://openalex.org/W3138516171","https://openalex.org/W3172170405","https://openalex.org/W3174082502","https://openalex.org/W3177318507","https://openalex.org/W4234552385","https://openalex.org/W4287114832"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W2364531466","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127"],"abstract_inverted_index":{"Chronic":[0],"diseases":[1,16,100],"are":[2],"serious":[3],"threats":[4],"to":[5,18,27,43,87,129],"human":[6],"safety":[7],"and":[8,63,115],"major":[9],"public":[10],"health":[11],"problems":[12],"worldwide.":[13],"Many":[14],"chronic":[15,94,99,134],"tend":[17,26],"have":[19],"co-morbidities.":[20,39],"Most":[21],"machine":[22],"learning":[23],"techniques":[24],"nowadays":[25],"focus":[28],"on":[29,52,132],"predicting":[30],"a":[31,73,98],"single":[32],"disease":[33,135],"while":[34],"ignoring":[35],"the":[36,60,81,89],"study":[37],"of":[38,65,93,111],"It":[40],"is":[41,57],"urgent":[42],"develop":[44],"an":[45],"artificial":[46],"intelligence-based":[47],"multi-label":[48,90],"classification":[49],"model":[50],"based":[51],"patients'":[53,66],"physical":[54],"data,":[55],"which":[56,109],"useful":[58],"for":[59],"early":[61],"detection":[62],"treatment":[64],"diseases.":[67,95],"In":[68],"this":[69],"study,":[70],"we":[71],"proposed":[72],"layer-by-layer":[74],"processing":[75],"structure,":[76],"termed":[77],"CascadeTransformer,":[78],"that":[79,121],"applies":[80],"Transformer":[82],"architecture":[83],"as":[84],"weak":[85],"classifiers,":[86],"solve":[88],"prediction":[91],"problem":[92],"We":[96],"built":[97],"dataset":[101],"using":[102],"real-world":[103],"data":[104],"from":[105],"West":[106],"China":[107],"Hospital,":[108],"consists":[110],"1174":[112],"anonymous":[113],"instances":[114],"131":[116],"features.":[117],"Systematic":[118],"experiments":[119],"show":[120],"our":[122,133],"method":[123],"shows":[124],"better":[125],"experimental":[126],"performance":[127],"compared":[128],"other":[130],"methods":[131],"dataset.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
