{"id":"https://openalex.org/W4291653111","doi":"https://doi.org/10.1109/tcbb.2022.3198798","title":"Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs","display_name":"Knowledge Guided Feature Aggregation for the Prediction of Chronic Obstructive Pulmonary Disease With Chinese EMRs","publication_year":2022,"publication_date":"2022-08-15","ids":{"openalex":"https://openalex.org/W4291653111","doi":"https://doi.org/10.1109/tcbb.2022.3198798","pmid":"https://pubmed.ncbi.nlm.nih.gov/35969556"},"language":"en","primary_location":{"id":"doi:10.1109/tcbb.2022.3198798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3198798","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5073620939","display_name":"Qing Zhao","orcid":"https://orcid.org/0000-0001-9570-9546"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Zhao","raw_affiliation_strings":["Beijing Univerisity of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9570-9546","affiliations":[{"raw_affiliation_string":"Beijing Univerisity of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393880","display_name":"Jianqiang Li","orcid":"https://orcid.org/0000-0003-1995-9249"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Li","raw_affiliation_strings":["Beijing Univerisity of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1995-9249","affiliations":[{"raw_affiliation_string":"Beijing Univerisity of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101617581","display_name":"Linna Zhao","orcid":"https://orcid.org/0000-0002-2011-4246"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linna Zhao","raw_affiliation_strings":["Beijing Univerisity of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Univerisity of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101583013","display_name":"Zhichao Zhu","orcid":"https://orcid.org/0000-0002-1544-8831"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Zhu","raw_affiliation_strings":["Beijing Univerisity of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Univerisity of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073620939"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":1.8035,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.87306682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"20","issue":"6","first_page":"3343","last_page":"3352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9977999925613403,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6523659825325012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489409804344177},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5733159184455872},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5128405690193176},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.5027000904083252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4582170844078064},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44259580969810486},{"id":"https://openalex.org/keywords/medical-classification","display_name":"Medical classification","score":0.4172561764717102},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3914077579975128},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22399991750717163},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16303199529647827}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6523659825325012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489409804344177},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5733159184455872},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5128405690193176},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.5027000904083252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4582170844078064},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44259580969810486},{"id":"https://openalex.org/C154874363","wikidata":"https://www.wikidata.org/wiki/Q3518464","display_name":"Medical classification","level":2,"score":0.4172561764717102},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3914077579975128},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22399991750717163},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16303199529647827},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D029424","descriptor_name":"Pulmonary Disease, Chronic Obstructive","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcbb.2022.3198798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcbb.2022.3198798","pdf_url":null,"source":{"id":"https://openalex.org/S36029991","display_name":"IEEE/ACM Transactions on Computational Biology and Bioinformatics","issn_l":"1545-5963","issn":["1545-5963","1557-9964","2374-0043"],"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/ACM Transactions on Computational Biology and Bioinformatics","raw_type":"journal-article"},{"id":"pmid:35969556","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35969556","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM transactions on computational biology and bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G696884703","display_name":null,"funder_award_id":"KZ202010005010","funder_id":"https://openalex.org/F4320321572","funder_display_name":"Beijing Municipal Commission of Education"}],"funders":[{"id":"https://openalex.org/F4320321572","display_name":"Beijing Municipal Commission of Education","ror":"https://ror.org/04bpn6s66"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1863942808","https://openalex.org/W1999377398","https://openalex.org/W2038395276","https://openalex.org/W2041652340","https://openalex.org/W2042047888","https://openalex.org/W2044018119","https://openalex.org/W2111374619","https://openalex.org/W2113558571","https://openalex.org/W2160317546","https://openalex.org/W2163048132","https://openalex.org/W2165973226","https://openalex.org/W2250999640","https://openalex.org/W2275624892","https://openalex.org/W2404901863","https://openalex.org/W2473152724","https://openalex.org/W2540453806","https://openalex.org/W2610135452","https://openalex.org/W2782917850","https://openalex.org/W2808897169","https://openalex.org/W2896243160","https://openalex.org/W2912206724","https://openalex.org/W2920782008","https://openalex.org/W2949703561","https://openalex.org/W2950619241","https://openalex.org/W2992717504","https://openalex.org/W3004952083","https://openalex.org/W3007105634","https://openalex.org/W3034119421","https://openalex.org/W3034656759","https://openalex.org/W3036619032","https://openalex.org/W3042110234","https://openalex.org/W3162532547","https://openalex.org/W4297733535","https://openalex.org/W6684026618","https://openalex.org/W6685812147","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6771039797"],"related_works":["https://openalex.org/W2158076149","https://openalex.org/W2419506399","https://openalex.org/W2401540593","https://openalex.org/W2165346429","https://openalex.org/W2406037887","https://openalex.org/W72816711","https://openalex.org/W4251132254","https://openalex.org/W2418299364","https://openalex.org/W4210551435","https://openalex.org/W2077538769"],"abstract_inverted_index":{"The":[0,81,211,232,247],"automatic":[1],"disease":[2,107,209],"diagnosis":[3],"utilizing":[4],"clinical":[5,73],"data":[6,74],"has":[7],"been":[8],"suffering":[9],"from":[10,52,193],"the":[11,23,33,38,44,48,64,69,86,95,106,111,119,128,137,141,148,152,159,163,167,171,181,202,223,242,253,261],"issues":[12],"of":[13,19,72,85,170,263],"feature":[14,70],"sparse":[15],"and":[16,36,144,183],"high":[17],"probability":[18],"missing":[20,39],"values.":[21],"Since":[22],"graph":[24,57,102,138,155,186],"neural":[25,58],"network":[26,59,104],"is":[27,42,214],"a":[28,100,115,177,215],"effective":[29],"tool":[30],"to":[31,165,176,190,197,205,221],"model":[32,50,225,255],"structural":[34],"information":[35,93,121,192],"infer":[37],"values,":[40],"it":[41],"becoming":[43],"dominant":[45],"method":[46],"for":[47,105,208,229,235],"predictive":[49,224],"construction":[51],"electronic":[53,129],"medical":[54,65,87,117,124,130,149,153,172],"records.":[55],"Existing":[56],"based":[60,185],"solutions":[61],"usually":[62],"adopt":[63],"concepts":[66,125,150,173],"(e.g.,":[67],"symptoms)":[68],"representation":[71],"without":[75],"considering":[76],"their":[77,145],"underlying":[78],"semantic":[79],"relations.":[80],"limited":[82],"discriminative":[83],"capability":[84],"concept":[88],"cannot":[89],"provide":[90],"sufficient":[91],"indicative":[92,168],"about":[94],"disease.":[96,179],"This":[97],"article":[98],"proposes":[99],"knowledge-guided":[101],"attention":[103,184],"prediction.":[108],"Beside":[109],"extracting":[110],"attribute-value":[112],"structure":[113],"as":[114,201],"large-size":[116],"concept,":[118],"mutual":[120],"between":[122],"multiple":[123],"mentioned":[126],"in":[127,136,151],"records":[131],"are":[132,156,188,239],"taken":[133],"into":[134,158],"account":[135],"construction.":[139],"Meanwhile,":[140],"defined":[142],"diseases":[143],"associations":[146],"with":[147],"knowledge":[154],"incorporated":[157],"graph,":[160],"which":[161,259],"provides":[162],"potentials":[164],"enhance":[166],"impacts":[169],"directly":[174,194],"related":[175],"target":[178],"Then,":[180],"spatial":[182],"encoders":[187],"employed":[189],"aggregate":[191],"neighbor":[195],"nodes":[196],"generate":[198],"node":[199],"embeddings":[200],"compact":[203],"features":[204],"be":[206],"used":[207],"diagnosis.":[210],"approach":[212],"itself":[213],"general":[216],"one":[217],"that":[218,252],"can":[219],"utilized":[220],"build":[222],"using":[226],"Chinese":[227],"EMRs":[228],"different":[230],"diseases.":[231],"empirical":[233],"experiments":[234],"its":[236],"performance":[237],"evaluation":[238],"conducted":[240],"on":[241],"real-world":[243],"COPD":[244],"EMR":[245],"dataset.":[246],"comparison":[248],"study":[249],"results":[250],"show":[251],"proposed":[254,265],"outperforms":[256],"baseline":[257],"methods,":[258],"illustrates":[260],"effectiveness":[262],"our":[264],"model.":[266]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}