{"id":"https://openalex.org/W4404563239","doi":"https://doi.org/10.1109/jbhi.2024.3503061","title":"Intradialytic Hypotension Frequency Prediction Using Generalizable Neighborhood Reasoning on Temporal Patient Knowledge Graph","display_name":"Intradialytic Hypotension Frequency Prediction Using Generalizable Neighborhood Reasoning on Temporal Patient Knowledge Graph","publication_year":2024,"publication_date":"2024-11-20","ids":{"openalex":"https://openalex.org/W4404563239","doi":"https://doi.org/10.1109/jbhi.2024.3503061","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030218"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3503061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3503061","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/A5003577234","display_name":"Gengxian Zhou","orcid":"https://orcid.org/0000-0002-4660-8279"},"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":true,"raw_author_name":"Gengxian Zhou","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075117055","display_name":"E Haihong","orcid":"https://orcid.org/0000-0003-2087-586X"},"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":"Haihong E","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116548905","display_name":"Zemin Kuang","orcid":"https://orcid.org/0009-0005-1540-4555"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I4210119028","display_name":"Beijing Anzhen Hospital","ror":"https://ror.org/02h2j1586","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zemin Kuang","raw_affiliation_strings":["Beijing Anzhen Hospital, Capital Medical University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Anzhen Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I4210119028","https://openalex.org/I183519381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100569227","display_name":"Ling Tan","orcid":"https://orcid.org/0000-0003-3306-1101"},"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":"Ling Tan","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119532610","display_name":"Tianyu Yao","orcid":"https://orcid.org/0000-0003-0919-5441"},"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":"Tianyu Yao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005632451","display_name":"Meina Song","orcid":"https://orcid.org/0000-0001-6626-9932"},"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":"Meina Song","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003577234"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.4024,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.69828169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"29","issue":"3","first_page":"2233","last_page":"2245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9221000075340271,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.5914962887763977},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48316091299057007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4624597728252411},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4614817500114441},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34159475564956665},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.184725821018219}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914962887763977},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48316091299057007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4624597728252411},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4614817500114441},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34159475564956665},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.184725821018219}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"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":"D006435","descriptor_name":"Renal Dialysis","qualifier_ui":"Q000009","qualifier_name":"adverse effects","is_major_topic":true},{"descriptor_ui":"D006435","descriptor_name":"Renal Dialysis","qualifier_ui":"Q000009","qualifier_name":"adverse effects","is_major_topic":true},{"descriptor_ui":"D006435","descriptor_name":"Renal Dialysis","qualifier_ui":"Q000009","qualifier_name":"adverse effects","is_major_topic":true},{"descriptor_ui":"D006435","descriptor_name":"Renal Dialysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006435","descriptor_name":"Renal Dialysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D007022","descriptor_name":"Hypotension","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3503061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3503061","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:40030218","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030218","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/G3374340520","display_name":null,"funder_award_id":"62473271","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4726655295","display_name":null,"funder_award_id":"M22009","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G697349245","display_name":null,"funder_award_id":"62176026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W1426956448","https://openalex.org/W1843968417","https://openalex.org/W1854187713","https://openalex.org/W2064675550","https://openalex.org/W2071794395","https://openalex.org/W2116341502","https://openalex.org/W2129860745","https://openalex.org/W2137983211","https://openalex.org/W2147800946","https://openalex.org/W2161923453","https://openalex.org/W2163899013","https://openalex.org/W2604314403","https://openalex.org/W2606436817","https://openalex.org/W2724468440","https://openalex.org/W2728059831","https://openalex.org/W2729946825","https://openalex.org/W2766736793","https://openalex.org/W2792274890","https://openalex.org/W2808877131","https://openalex.org/W2889234142","https://openalex.org/W2890216969","https://openalex.org/W2914592219","https://openalex.org/W2950393809","https://openalex.org/W2951105272","https://openalex.org/W2951515642","https://openalex.org/W2962869320","https://openalex.org/W2963606508","https://openalex.org/W2964152081","https://openalex.org/W2964161331","https://openalex.org/W2980763157","https://openalex.org/W2981612821","https://openalex.org/W2996002664","https://openalex.org/W2996899616","https://openalex.org/W2997591727","https://openalex.org/W2997738974","https://openalex.org/W2999309192","https://openalex.org/W3017876702","https://openalex.org/W3027703678","https://openalex.org/W3028487170","https://openalex.org/W3040806809","https://openalex.org/W3094537309","https://openalex.org/W3100606581","https://openalex.org/W3113170987","https://openalex.org/W3125395332","https://openalex.org/W3127932910","https://openalex.org/W3137492414","https://openalex.org/W3159871541","https://openalex.org/W3173927728","https://openalex.org/W3174905206","https://openalex.org/W3177318507","https://openalex.org/W3182872591","https://openalex.org/W3191233951","https://openalex.org/W3193736576","https://openalex.org/W3207778316","https://openalex.org/W4223656261","https://openalex.org/W4226350104","https://openalex.org/W4229024390","https://openalex.org/W4283376376","https://openalex.org/W4285286058","https://openalex.org/W4285605599","https://openalex.org/W4291012579","https://openalex.org/W4292962598","https://openalex.org/W4298148357","https://openalex.org/W4307678073","https://openalex.org/W4308902226","https://openalex.org/W4312044727","https://openalex.org/W4313420265","https://openalex.org/W4323537687","https://openalex.org/W4362602846","https://openalex.org/W4365458493","https://openalex.org/W4381953058","https://openalex.org/W4383371721","https://openalex.org/W4384342747","https://openalex.org/W4385270329","https://openalex.org/W4386726724","https://openalex.org/W4400111732","https://openalex.org/W6678830454","https://openalex.org/W6718112784","https://openalex.org/W6749174243","https://openalex.org/W6754929296","https://openalex.org/W6758075616","https://openalex.org/W6764644601","https://openalex.org/W6768179412","https://openalex.org/W6769589523","https://openalex.org/W6773885729","https://openalex.org/W6784083454","https://openalex.org/W6797155008","https://openalex.org/W6846509546","https://openalex.org/W6889955440","https://openalex.org/W7052438043"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Intradialytic":[0],"hypotension":[1],"(IDH)":[2],"is":[3,51,103,155],"a":[4,41,99,139,163,200,216,221,227],"common":[5],"complication":[6],"among":[7],"hemodialysis":[8],"patients,":[9],"adversely":[10],"affecting":[11],"quality":[12],"of":[13,117,143,152,176,187],"life":[14],"and":[15,53,61,72,83,95,123,179,198,224,253],"elevating":[16],"mortality":[17],"risk.":[18],"IDH":[19,94,168,177],"prediction":[20,33,228,233],"enables":[21],"physicians":[22],"to":[23,88,156,165,207,230,236],"take":[24],"proactive":[25],"measures,":[26],"effectively":[27],"reducing":[28],"its":[29],"occurrence.":[30],"However,":[31,173],"most":[32],"works":[34],"rely":[35],"on":[36,43,57,85,115],"machine":[37,239],"learning":[38,240],"models,":[39,241],"with":[40],"focus":[42],"real-time":[44],"or":[45],"session-level":[46],"IDH.":[47,90],"Hemodialysis":[48],"patient":[49,58,101,213],"data":[50,70,116],"multi-type":[52],"temporal,":[54],"necessitating":[55],"research":[56],"condition":[59],"representation":[60],"temporal":[62,97,100,140],"information":[63,158],"utilization.":[64],"Knowledge":[65],"graphs":[66],"(KGs)":[67],"offer":[68],"flexible":[69],"modeling":[71],"encompass":[73],"rich":[74],"structured":[75],"information.":[76],"This":[77],"study":[78,92,154],"represents":[79],"patients":[80,119],"using":[81,220],"KGs":[82,106,129],"reason":[84],"graph":[86,205],"structures":[87],"predict":[89,166],"To":[91],"monthly":[93,112,128],"utilize":[96,157],"information,":[98],"KG":[102,141,189,196],"constructed.":[104],"Patient":[105],"are":[107,130,218],"first":[108],"built":[109],"at":[110],"the":[111,170,174,185,232],"granularity":[113],"based":[114],"532":[118],"between":[120],"January":[121],"2017":[122],"August":[124],"2022.":[125],"Six":[126],"sequential":[127,222],"then":[131],"combined":[132],"into":[133],"an":[134],"observation":[135],"window,":[136],"resulting":[137],"in":[138,169,215,247],"dataset":[142],"15,807":[144],"independent":[145],"windows":[146],"from":[147,159],"458":[148],"patients.":[149],"The":[150],"aim":[151],"this":[153],"multiple":[160],"months":[161],"within":[162],"window":[164,217],"frequent":[167],"last":[171],"month.":[172],"characteristics":[175],"scenario":[178],"generalizability":[180],"requirement":[181],"pose":[182],"challenges":[183],"for":[184],"application":[186],"general":[188],"reasoning":[190,197],"models.":[191],"Therefore,":[192],"we":[193],"adopt":[194],"neighborhood-based":[195],"devise":[199],"visible":[201],"feature":[202],"guided":[203],"patient-centric":[204],"convolution":[206],"obtain":[208,231],"patients'":[209],"generalizable":[210],"representations.":[211],"Finally,":[212],"representations":[214],"fused":[219],"model,":[223],"processed":[225],"by":[226],"MLP":[229],"results.":[234],"Compared":[235],"7":[237],"classic":[238],"our":[242],"model":[243],"demonstrates":[244],"superior":[245],"performance":[246],"comprehensive":[248],"metrics":[249],"such":[250],"as":[251],"accuracy":[252],"F1":[254],"score.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}