{"id":"https://openalex.org/W3036619032","doi":"https://doi.org/10.1109/jbhi.2020.3004143","title":"Disease Prediction via Graph Neural Networks","display_name":"Disease Prediction via Graph Neural Networks","publication_year":2020,"publication_date":"2020-06-22","ids":{"openalex":"https://openalex.org/W3036619032","doi":"https://doi.org/10.1109/jbhi.2020.3004143","mag":"3036619032","pmid":"https://pubmed.ncbi.nlm.nih.gov/32749976"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2020.3004143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3004143","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","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/A5020412888","display_name":"Zhenchao Sun","orcid":"https://orcid.org/0000-0002-9590-0962"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchao Sun","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-9590-0962","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088492734","display_name":"Hongzhi Yin","orcid":"https://orcid.org/0000-0003-1395-261X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongzhi Yin","raw_affiliation_strings":["School of Information Technology & Electrical Engineering, The University of Queensland, Saint Lucia, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1395-261X","affiliations":[{"raw_affiliation_string":"School of Information Technology & Electrical Engineering, The University of Queensland, Saint Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009606065","display_name":"Hongxu Chen","orcid":"https://orcid.org/0000-0001-7963-8813"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongxu Chen","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7963-8813","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461265","display_name":"Tong Chen","orcid":"https://orcid.org/0000-0001-7269-146X"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tong Chen","raw_affiliation_strings":["School of Information Technology & Electrical Engineering, The University of Queensland, Saint Lucia, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Technology & Electrical Engineering, The University of Queensland, Saint Lucia, QLD, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-8262-8883","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100637346","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-0717-5420"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["School of Public Health & Institute for Medical Dataology, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health & Institute for Medical Dataology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9973,"has_fulltext":false,"cited_by_count":98,"citation_normalized_percentile":{"value":0.97006111,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"25","issue":"3","first_page":"818","last_page":"826"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9965000152587891,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7470660209655762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5576580762863159},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5450314879417419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5254278182983398},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5134723782539368},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.48824670910835266},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47051042318344116},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4489240348339081},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.415652871131897},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16261354088783264},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.144456684589386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470660209655762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5576580762863159},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5450314879417419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254278182983398},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5134723782539368},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.48824670910835266},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47051042318344116},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4489240348339081},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.415652871131897},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16261354088783264},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.144456684589386},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"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":"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/jbhi.2020.3004143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2020.3004143","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:32749976","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32749976","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 journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1333446516","display_name":null,"funder_award_id":"91846205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3124028666","display_name":"Challenging big data for scalable, robust and real-time recommendations","funder_award_id":"DP190101985","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6426871516","display_name":null,"funder_award_id":"2017YFB1400100","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W349770100","https://openalex.org/W1888005072","https://openalex.org/W1930624869","https://openalex.org/W2004910511","https://openalex.org/W2103069675","https://openalex.org/W2119821739","https://openalex.org/W2128420091","https://openalex.org/W2132265655","https://openalex.org/W2141847884","https://openalex.org/W2154851992","https://openalex.org/W2393319904","https://openalex.org/W2507425200","https://openalex.org/W2514757901","https://openalex.org/W2557074642","https://openalex.org/W2557385283","https://openalex.org/W2607500032","https://openalex.org/W2620563544","https://openalex.org/W2690721124","https://openalex.org/W2743245152","https://openalex.org/W2772905286","https://openalex.org/W2809398771","https://openalex.org/W2809645418","https://openalex.org/W2896538705","https://openalex.org/W2919115771","https://openalex.org/W2944774301","https://openalex.org/W2949340817","https://openalex.org/W2949732208","https://openalex.org/W2951626691","https://openalex.org/W2962711740","https://openalex.org/W2962767366","https://openalex.org/W2963271116","https://openalex.org/W2963858333","https://openalex.org/W2973267506","https://openalex.org/W3014559949","https://openalex.org/W3080406377","https://openalex.org/W3099136959","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4239510810","https://openalex.org/W4285723986","https://openalex.org/W4294558607","https://openalex.org/W4294607651","https://openalex.org/W6611762666","https://openalex.org/W6640462745","https://openalex.org/W6725909010","https://openalex.org/W6726186668","https://openalex.org/W6738964360","https://openalex.org/W6754929296"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2086348228"],"abstract_inverted_index":{"With":[0],"the":[1,26,36,65,81,114,159,175,186,200,222,230,257],"increasingly":[2],"available":[3],"electronic":[4],"medical":[5,176,187],"records":[6],"(EMRs),":[7],"disease":[8,108,150],"prediction":[9,28,59,109,240],"has":[10],"recently":[11],"gained":[12],"immense":[13],"research":[14],"attention,":[15],"where":[16],"an":[17,140],"accurate":[18,239],"classifier":[19],"needs":[20],"to":[21,24,35,56,73,93,124,157,219,236],"be":[22],"trained":[23],"map":[25],"input":[27],"signals":[29],"(e.g.,":[30],"symptoms,":[31],"patient":[32,120,180,227],"demographics,":[33],"etc.)":[34],"estimated":[37],"diseases":[38,69,100,171,244],"for":[39,90,118,149,169,224,238],"each":[40,78],"patient.":[41],"However,":[42],"existing":[43,107],"machine":[44],"learning-based":[45],"solutions":[46],"heavily":[47],"rely":[48],"on":[49,113,144,229,241,250],"abundant":[50],"manually":[51],"labeled":[52],"EMR":[53,83,161,253],"training":[54],"data":[55,75,84,214],"ensure":[57],"satisfactory":[58],"results,":[60],"impeding":[61],"their":[62,132],"performance":[63,259],"in":[64,233],"existence":[66],"of":[67,260],"rare":[68,79,246],"that":[70,209],"are":[71,111,122],"subject":[72],"severe":[74],"scarcity.":[76],"For":[77],"disease,":[80],"limited":[82],"can":[85,205],"hardly":[86],"offer":[87],"sufficient":[88],"information":[89,194],"a":[91,225,251],"model":[92,142],"correctly":[94],"distinguish":[95],"its":[96],"identity":[97],"from":[98,174,185,195,212],"other":[99],"with":[101],"similar":[102],"clinical":[103],"symptoms.":[104],"Furthermore,":[105],"most":[106],"approaches":[110],"based":[112,143,228],"sequential":[115],"EMRs":[116,235],"collected":[117],"every":[119],"and":[121,163,172,179,190,216,245],"unable":[123],"handle":[125],"new":[126,226],"patients":[127],"without":[128],"historical":[129],"EMRs,":[130],"reducing":[131],"real-life":[133],"practicality.":[134],"In":[135],"this":[136],"paper,":[137],"we":[138],"introduce":[139],"innovative":[141],"Graph":[145],"Neural":[146],"Networks":[147],"(GNNs)":[148],"prediction,":[151],"which":[152],"utilizes":[153],"external":[154],"knowledge":[155,188,211],"bases":[156],"augment":[158],"insufficient":[160],"data,":[162],"learns":[164],"highly":[165],"representative":[166],"node":[167],"embeddings":[168,208,223],"patients,":[170],"symptoms":[173,231],"concept":[177],"graph":[178,182,203],"record":[181],"respectively":[183],"constructed":[184],"base":[189],"EMRs.":[191],"By":[192],"aggregating":[193],"directly":[196],"connected":[197],"neighbor":[198],"nodes,":[199],"proposed":[201,262],"neural":[202],"encoder":[204],"effectively":[206],"generate":[207],"capture":[210],"both":[213,242],"sources,":[215],"is":[217],"able":[218],"inductively":[220],"infer":[221],"reported":[232],"her/his":[234],"allow":[237],"general":[243],"diseases.":[247],"Extensive":[248],"experiments":[249],"real-world":[252],"dataset":[254],"have":[255],"demonstrated":[256],"state-of-the-art":[258],"our":[261],"model.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}