{"id":"https://openalex.org/W2150644528","doi":"https://doi.org/10.1109/embc.2013.6610394","title":"Prediction of coronary atherosclerosis progression using dynamic Bayesian networks","display_name":"Prediction of coronary atherosclerosis progression using dynamic Bayesian networks","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2150644528","doi":"https://doi.org/10.1109/embc.2013.6610394","mag":"2150644528","pmid":"https://pubmed.ncbi.nlm.nih.gov/24110581"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6610394","is_oa":false,"landing_page_url":"http://doi.org/10.1109/embc.2013.6610394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and 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/A5017880834","display_name":"Konstantinos Exarchos","orcid":"https://orcid.org/0000-0002-4754-7623"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konstantinos P. Exarchos","raw_affiliation_strings":["Dept. of Biomed. Res., Found. for Res. & Technol. Hellas, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Biomed. Res., Found. for Res. & Technol. Hellas, Ioannina, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104150275","display_name":"Themis P. Exarchos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Themis P. Exarchos","raw_affiliation_strings":["Dept. of Biomed. Res., Found. for Res. & Technol. Hellas, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Biomed. Res., Found. for Res. & Technol. Hellas, Ioannina, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050124666","display_name":"Christos V. Bourantas","orcid":"https://orcid.org/0000-0001-5319-1064"},"institutions":[{"id":"https://openalex.org/I2801269832","display_name":"Castle Hill Hospital","ror":"https://ror.org/042asnw05","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2800043709","https://openalex.org/I2801269832"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christos V. Bourantas","raw_affiliation_strings":["Dept. of Acad. Cardiology, Castle Hill Hosp., Cottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Acad. Cardiology, Castle Hill Hosp., Cottingham, UK","institution_ids":["https://openalex.org/I2801269832"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006939356","display_name":"Michail I. Papafaklis","orcid":"https://orcid.org/0000-0002-5646-0378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michail I. Papafaklis","raw_affiliation_strings":["Cardiovascular Div., Harvard Med. Sch., Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardiovascular Div., Harvard Med. Sch., Boston, MA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025715284","display_name":"Katerina \u039a. Naka","orcid":"https://orcid.org/0000-0002-9900-9659"},"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":"Katerina K. Naka","raw_affiliation_strings":["University of Ioannina,Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Ioannina,Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108123560","display_name":"Lampros K. Michalis","orcid":"https://orcid.org/0000-0001-8834-4462"},"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":"Lampros K. Michalis","raw_affiliation_strings":["Dept. of Cardiology in Med. Sch., Univ. of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Cardiology in Med. Sch., Univ. of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057116470","display_name":"Oberdan Parodi","orcid":"https://orcid.org/0000-0003-2459-1047"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Oberdan Parodi","raw_affiliation_strings":["Inst. of Clinical Physiol., Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Clinical Physiol., Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","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"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios I. Fotiadis","raw_affiliation_strings":["Unit of Med. Technol. & Intell. Inf. Syst., Univ. of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit of Med. Technol. & Intell. Inf. Syst., Univ. of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4706,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90765211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"14","issue":null,"first_page":"3889","last_page":"3892"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9818999767303467,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9818999767303467,"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":0.979200005531311,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9663000106811523,"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/bayesian-network","display_name":"Bayesian network","score":0.6082961559295654},{"id":"https://openalex.org/keywords/coronary-atherosclerosis","display_name":"Coronary atherosclerosis","score":0.6069307923316956},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.574354887008667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5626170635223389},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5594179034233093},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.45259782671928406},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.4423784017562866},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4351695775985718},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.42077043652534485},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.41251906752586365},{"id":"https://openalex.org/keywords/coronary-artery-disease","display_name":"Coronary artery disease","score":0.40054577589035034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3015996217727661},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07912099361419678}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6082961559295654},{"id":"https://openalex.org/C2991716557","wikidata":"https://www.wikidata.org/wiki/Q12252367","display_name":"Coronary atherosclerosis","level":3,"score":0.6069307923316956},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.574354887008667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5626170635223389},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5594179034233093},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.45259782671928406},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.4423784017562866},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4351695775985718},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.42077043652534485},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.41251906752586365},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.40054577589035034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3015996217727661},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07912099361419678},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D003324","descriptor_name":"Coronary Artery Disease","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D005500","descriptor_name":"Follow-Up Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005500","descriptor_name":"Follow-Up Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005500","descriptor_name":"Follow-Up Studies","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":"D007249","descriptor_name":"Inflammation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007249","descriptor_name":"Inflammation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007249","descriptor_name":"Inflammation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008955","descriptor_name":"Models, Cardiovascular","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018450","descriptor_name":"Disease Progression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018450","descriptor_name":"Disease Progression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018450","descriptor_name":"Disease Progression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020641","descriptor_name":"Polymorphism, Single Nucleotide","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6610394","is_oa":false,"landing_page_url":"http://doi.org/10.1109/embc.2013.6610394","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24110581","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24110581","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":0.7599999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1524326598","https://openalex.org/W1969260982","https://openalex.org/W1983675274","https://openalex.org/W2004892205","https://openalex.org/W2063276423","https://openalex.org/W2071290215","https://openalex.org/W2096651496","https://openalex.org/W2103727072","https://openalex.org/W2113653930","https://openalex.org/W2115091021","https://openalex.org/W2138775195","https://openalex.org/W2139664253","https://openalex.org/W2147383721","https://openalex.org/W2165687409","https://openalex.org/W4251402925","https://openalex.org/W4302423442","https://openalex.org/W6680756674"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W3128072696","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2511198839","https://openalex.org/W1966557338","https://openalex.org/W2366931106"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,94,106],"methodology":[6,21],"for":[7,105],"predicting":[8],"the":[9,29,33,38,47,67,77,82,101,111,116,120],"progression":[10,83,102],"of":[11,50,66,84,103,119],"atherosclerosis":[12,85,104],"in":[13,37,60],"coronary":[14],"arteries":[15],"using":[16],"dynamic":[17],"Bayesian":[18],"networks.":[19],"The":[20],"takes":[22],"into":[23],"account":[24],"patient":[25],"data":[26,35],"collected":[27,36],"at":[28,110],"baseline":[30],"study":[31],"and":[32,86],"same":[34,112],"follow-up":[39],"study.":[40],"Our":[41],"aim":[42],"is":[43,72,97],"to":[44,62,75,92,99],"analyze":[45],"all":[46],"different":[48],"sources":[49],"information":[51,114],"(Demographic,":[52],"Clinical,":[53],"Biochemical":[54],"profile,":[55],"Inflammatory":[56],"markers,":[57],"Treatment":[58],"characteristics)":[59],"order":[61],"predict":[63,100],"possible":[64],"manifestations":[65],"disease;":[68],"subsequently,":[69],"our":[70],"purpose":[71],"twofold:":[73],"i)":[74],"identify":[76],"key":[78],"factors":[79,91],"that":[80],"dictate":[81],"ii)":[87],"based":[88],"on":[89],"these":[90],"build":[93],"model":[95],"which":[96],"able":[98],"specific":[107],"patient,":[108],"providing":[109],"time":[113],"about":[115],"underlying":[117],"mechanism":[118],"disease.":[121]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}