{"id":"https://openalex.org/W4390971163","doi":"https://doi.org/10.1109/bibm58861.2023.10385861","title":"Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference","display_name":"Gaussian Process-based Active Learning for Efficient Cardiovascular Disease Inference","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390971163","doi":"https://doi.org/10.1109/bibm58861.2023.10385861"},"language":"en","primary_location":{"id":"doi:10.1109/bibm58861.2023.10385861","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092580498","display_name":"Stavroula C. Tassi","orcid":"https://orcid.org/0009-0002-5743-6895"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]},{"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 C. Tassi","raw_affiliation_strings":["University of Ioannina,Unit of Medical Technology and Intelligent Information Systems (MEDLAB),Department of Material Science and Engineering,Ioannina,Greece","Department of Material Science and Engineering, Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece","Department of Mechanical and Aeronautics Engineering, University of Patras, Patras, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems (MEDLAB),Department of Material Science and Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Material Science and Engineering, Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Mechanical and Aeronautics Engineering, University of Patras, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005589458","display_name":"Konstantinos D. Polyzos","orcid":"https://orcid.org/0000-0002-4609-7368"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos D. Polyzos","raw_affiliation_strings":["University of Minnesota,Department of Electrical and Computer Engineering,Minnesota,USA","Department of Electrical and Computer Engineering, University of Minnesota, Minnesota, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Department of Electrical and Computer Engineering,Minnesota,USA","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minnesota, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"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 (MEDLAB),Department of Material Science and Engineering,Ioannina,Greece","Biomedical Reasearch Institute, Foundation for Research and Technology-Hellas(FORTH), Ioannina, Greece","Department of Material Science and Engineering, Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Unit of Medical Technology and Intelligent Information Systems (MEDLAB),Department of Material Science and Engineering,Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Biomedical Reasearch Institute, Foundation for Research and Technology-Hellas(FORTH), Ioannina, Greece","institution_ids":["https://openalex.org/I8901234"]},{"raw_affiliation_string":"Department of Material Science and Engineering, Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"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/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]},{"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":"Antonis I. Sakellarios","raw_affiliation_strings":["University of Patras,Laboratory of Biomechanics and Biomedical Engineering,Department of Mechanical and Aeronautics Engineering,Patras,Greece","Department of Mechanical and Aeronautics Engineering, Laboratory of Biomechanics and Biomedical Engineering, University of Patras, Patras, Greece","Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Patras,Laboratory of Biomechanics and Biomedical Engineering,Department of Mechanical and Aeronautics Engineering,Patras,Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Department of Mechanical and Aeronautics Engineering, Laboratory of Biomechanics and Biomedical Engineering, University of Patras, Patras, Greece","institution_ids":["https://openalex.org/I174878644"]},{"raw_affiliation_string":"Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"3188","last_page":"3193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.995199978351593,"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":0.995199978351593,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9434000253677368,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9334999918937683,"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/inference","display_name":"Inference","score":0.8288203477859497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7303073406219482},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6637427806854248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6604790687561035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6047155857086182},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5158752202987671},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.40269213914871216},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38169682025909424}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.8288203477859497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303073406219482},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6637427806854248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6604790687561035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047155857086182},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5158752202987671},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.40269213914871216},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38169682025909424},{"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},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm58861.2023.10385861","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bibm58861.2023.10385861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W161660362","https://openalex.org/W2138517257","https://openalex.org/W2140539195","https://openalex.org/W2170912685","https://openalex.org/W2218370991","https://openalex.org/W2945583287","https://openalex.org/W3046195400","https://openalex.org/W3134632592","https://openalex.org/W3161972063","https://openalex.org/W3195184704","https://openalex.org/W3211299233","https://openalex.org/W4206242867","https://openalex.org/W4206522381","https://openalex.org/W4210593412","https://openalex.org/W4210630286","https://openalex.org/W4211049957","https://openalex.org/W4214878906","https://openalex.org/W4214885973","https://openalex.org/W4281390059","https://openalex.org/W4282813615","https://openalex.org/W4284685541","https://openalex.org/W4292289324","https://openalex.org/W4319296823","https://openalex.org/W4323521106","https://openalex.org/W4362509071","https://openalex.org/W4362602242","https://openalex.org/W4366086722","https://openalex.org/W4372259860","https://openalex.org/W4372265095","https://openalex.org/W4375869162","https://openalex.org/W4387323245","https://openalex.org/W4389577266","https://openalex.org/W6680770092","https://openalex.org/W6838686753","https://openalex.org/W6839265777","https://openalex.org/W6857227630"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W1964286703","https://openalex.org/W2169866437"],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1],"(CVD)":[2],"poses":[3],"a":[4,62],"significant":[5],"global":[6],"health":[7],"challenge,":[8],"and":[9,18,122],"accurate":[10],"inference":[11,103],"methods":[12],"are":[13,34,50,132],"vital":[14],"for":[15],"early":[16],"detection":[17],"intervention.":[19],"However,":[20],"the":[21,28,43,51,75,87,92,95,111,115],"quality":[22],"of":[23,30,45,65,94,114],"prediction":[24],"relies":[25],"heavily":[26],"on":[27,86],"availability":[29],"labeled":[31,47,130],"data,":[32,48],"which":[33],"often":[35],"limited":[36,46],"in":[37,101,119,127],"medical":[38],"applications.":[39],"To":[40],"cope":[41],"with":[42],"challenge":[44],"we":[49,90],"first":[52],"to":[53,68,81,105,135],"propose":[54],"an":[55],"active":[56],"learning":[57],"(AL)":[58],"approach":[59],"that":[60],"leverages":[61],"weighted":[63],"ensemble":[64],"Gaussian":[66],"processes":[67],"effectively":[69],"infer":[70],"CVD":[71,102,120],"by":[72],"strategically":[73],"selecting":[74],"few":[76],"most":[77],"informative":[78],"data":[79,131,136],"points":[80],"label.":[82],"Through":[83],"experiments":[84],"conducted":[85],"SMARTool":[88],"dataset,":[89],"demonstrate":[91],"effectiveness":[93],"advocated":[96],"approach,":[97],"achieving":[98],"superior":[99],"performance":[100],"compared":[104],"baseline":[106],"methods.":[107],"Our":[108],"findings":[109],"highlight":[110],"potential":[112],"impact":[113],"proposed":[116],"AL":[117],"framework":[118],"diagnosis":[121],"treatment":[123],"clinical":[124],"cases,":[125],"particularly":[126],"scenarios":[128],"where":[129],"scarce,":[133],"due":[134],"confidentiality":[137],"concerns":[138],"or":[139],"high":[140],"sampling":[141],"costs.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
