{"id":"https://openalex.org/W4389577266","doi":"https://doi.org/10.1109/embc40787.2023.10340916","title":"Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures","display_name":"Graph-guided Gaussian Process-based Diagnosis of CVD Severity with Uncertainty Measures","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4389577266","doi":"https://doi.org/10.1109/embc40787.2023.10340916","pmid":"https://pubmed.ncbi.nlm.nih.gov/38082986"},"language":"en","primary_location":{"id":"doi:10.1109/embc40787.2023.10340916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-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/A5092580498","display_name":"Stavroula C. Tassi","orcid":"https://orcid.org/0009-0002-5743-6895"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stavroula Tassi","raw_affiliation_strings":["University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,GR,Greece,45110"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,GR,Greece,45110","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088260638","display_name":"Vassiliki I. Kigka","orcid":"https://orcid.org/0009-0005-0580-7334"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassiliki Kigka","raw_affiliation_strings":["University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,GR,Greece,45110"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,GR,Greece,45110","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060566170","display_name":"Panagiotis K. Siogkas","orcid":"https://orcid.org/0000-0002-0343-0984"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Siogkas","raw_affiliation_strings":["University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,GR,Greece,45110"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Department of Materials Science and Engineering,Ioannina,GR,Greece,45110","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042723074","display_name":"Silvia Rocchiccioli","orcid":"https://orcid.org/0000-0003-3831-4200"},"institutions":[{"id":"https://openalex.org/I4210106076","display_name":"Istituto di Fisiologia Clinica","ror":"https://ror.org/01kdj2848","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106076","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Rocchiccioli","raw_affiliation_strings":["National Research Council,Institute of Clinical Physiology,Pisa,Italy,56124"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council,Institute of Clinical Physiology,Pisa,Italy,56124","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210106076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103785191","display_name":"Gualtriero Pelosi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106076","display_name":"Istituto di Fisiologia Clinica","ror":"https://ror.org/01kdj2848","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210106076","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gualtriero Pelosi","raw_affiliation_strings":["National Research Council,Institute of Clinical Physiology,Pisa,Italy,56124"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council,Institute of Clinical Physiology,Pisa,Italy,56124","institution_ids":["https://openalex.org/I4210155236","https://openalex.org/I4210106076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037813012","display_name":"Dimitrios I. Fotiadis","orcid":"https://orcid.org/0000-0002-7362-5082"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios I. Fotiadis","raw_affiliation_strings":["University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,GR,Greece,45110","Biomedical Institute, Foundation for Research and Technology-Hellas (FORTH)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,GR,Greece,45110","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Biomedical Institute, Foundation for Research and Technology-Hellas (FORTH)","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079931924","display_name":"Antonis I. Sakellarios","orcid":"https://orcid.org/0000-0002-2272-9543"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Antonis I. Sakellarios","raw_affiliation_strings":["University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,GR,Greece,45110","Biomedical Institute, Foundation for Research and Technology-Hellas (FORTH)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems,Dept. of Materials Science and Engineering,Ioannina,GR,Greece,45110","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Biomedical Institute, Foundation for Research and Technology-Hellas (FORTH)","institution_ids":["https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76187056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9843999743461609,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9843999743461609,"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/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9607999920845032,"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/gaussian-process","display_name":"Gaussian process","score":0.6105834245681763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5838778018951416},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5176628232002258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4936031103134155},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4837084412574768},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.432184636592865},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41799864172935486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39815983176231384},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35518407821655273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20070770382881165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18977299332618713},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13912180066108704}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6105834245681763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838778018951416},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5176628232002258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4936031103134155},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4837084412574768},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.432184636592865},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41799864172935486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39815983176231384},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35518407821655273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20070770382881165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18977299332618713},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13912180066108704},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000628","qualifier_name":"therapy","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":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017023","descriptor_name":"Coronary Angiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023921","descriptor_name":"Coronary Stenosis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D023921","descriptor_name":"Coronary Stenosis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D023921","descriptor_name":"Coronary Stenosis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D023921","descriptor_name":"Coronary Stenosis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D023921","descriptor_name":"Coronary Stenosis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053805","descriptor_name":"Fractional Flow Reserve, Myocardial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053805","descriptor_name":"Fractional Flow Reserve, Myocardial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053805","descriptor_name":"Fractional Flow Reserve, Myocardial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053805","descriptor_name":"Fractional Flow Reserve, Myocardial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053805","descriptor_name":"Fractional Flow Reserve, Myocardial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc40787.2023.10340916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc40787.2023.10340916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 45th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:38082986","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38082986","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W2095654324","https://openalex.org/W2100494227","https://openalex.org/W2218370991","https://openalex.org/W2809941431","https://openalex.org/W2899378572","https://openalex.org/W2902969195","https://openalex.org/W2911752470","https://openalex.org/W2945583287","https://openalex.org/W3011445295","https://openalex.org/W3015193637","https://openalex.org/W3042102985","https://openalex.org/W3134632592","https://openalex.org/W3161972063","https://openalex.org/W3179958485","https://openalex.org/W3195184704","https://openalex.org/W3211299233","https://openalex.org/W4214885973","https://openalex.org/W4282813615","https://openalex.org/W4323521106","https://openalex.org/W6798145865","https://openalex.org/W6838686753"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W2741131631","https://openalex.org/W2156919374","https://openalex.org/W1964286703","https://openalex.org/W2169866437","https://openalex.org/W2115519811"],"abstract_inverted_index":{"The":[0,31,86],"severity":[1],"of":[2,45,74,89,113,117,126,167],"coronary":[3,168],"artery":[4,169],"disease":[5],"can":[6],"be":[7],"assessed":[8],"invasively":[9],"using":[10,48],"the":[11,24,28,43,58,90,94,98,105,110,114,123,127,136,146,162,165],"Fractional":[12],"Flow":[13],"Reserve":[14],"(FFR)":[15],"index":[16,47],"which":[17],"is":[18],"a":[19,35,67,80,102],"useful":[20],"diagnostic":[21],"tool":[22],"for":[23,42,97,164],"clinicians":[25],"to":[26,135,144,160],"select":[27],"treatment":[29],"approach.":[30],"present":[32],"work":[33,91],"capitalizes":[34],"Gaussian":[36,76],"process":[37,77],"(GP)":[38],"framework":[39],"over":[40],"graphs":[41],"prediction":[44],"FFR":[46,147,163],"only":[49,109],"non-invasive":[50,158],"imaging":[51],"and":[52,139],"clinical":[53],"features.":[54,119],"More":[55],"specifically,":[56],"taking":[57],"per-node":[59],"one-hop":[60],"connectivity":[61],"vector":[62],"as":[63],"input,":[64],"we":[65],"employed":[66],"regression-based":[68],"task":[69],"by":[70],"applying":[71],"an":[72,156],"ensemble":[73],"graph-adapted":[75],"experts,":[78],"with":[79,149],"data-adaptive":[81],"fashion":[82],"via":[83],"online":[84],"training.":[85],"main":[87],"novelty":[88],"lies":[92],"in":[93,101,133],"fact":[95],"that":[96],"first":[99],"time":[100],"medical":[103,129],"field":[104],"inference":[106],"model":[107],"considers":[108],"similarity":[111],"condition":[112],"patients,":[115],"instead":[116],"their":[118],"Our":[120],"results":[121],"demonstrate":[122],"impressive":[124],"merits":[125],"proposed":[128],"EGP":[130],"(MedEGP)":[131],"method,":[132],"comparison":[134],"single":[137],"GP,":[138],"Linear":[140],"Regression":[141],"(LR)":[142],"models":[143],"predict":[145,161],"index,":[148],"well-calibrated":[150],"uncertainty.Clinical":[151],"Relevance-":[152],"This":[153],"paper":[154],"establishes":[155],"accurate":[157],"approach":[159],"diagnosis":[166],"disease.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
