{"id":"https://openalex.org/W2293037920","doi":"https://doi.org/10.1109/embc.2015.7319955","title":"Assessment of cardiovascular risk based on a data-driven knowledge discovery approach","display_name":"Assessment of cardiovascular risk based on a data-driven knowledge discovery approach","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2293037920","doi":"https://doi.org/10.1109/embc.2015.7319955","mag":"2293037920","pmid":"https://pubmed.ncbi.nlm.nih.gov/26737855"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7319955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th 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/A5065391400","display_name":"Diana Mendes","orcid":"https://orcid.org/0000-0002-1672-4906"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"D. Mendes","raw_affiliation_strings":["CISUC, University of Coimbra"],"affiliations":[{"raw_affiliation_string":"CISUC, University of Coimbra","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068198903","display_name":"S. Paredes","orcid":"https://orcid.org/0000-0002-1021-1173"},"institutions":[{"id":"https://openalex.org/I293362453","display_name":"Polytechnic Institute of Coimbra","ror":"https://ror.org/01n8x4993","country_code":"PT","type":"education","lineage":["https://openalex.org/I293362453"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"S. Paredes","raw_affiliation_strings":["Computer Science and Systems Engineering Department, Polytechnic Institute of Coimbra (IPC/ISEC)"],"affiliations":[{"raw_affiliation_string":"Computer Science and Systems Engineering Department, Polytechnic Institute of Coimbra (IPC/ISEC)","institution_ids":["https://openalex.org/I293362453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017050304","display_name":"Teresa Rocha","orcid":"https://orcid.org/0000-0002-3497-7368"},"institutions":[{"id":"https://openalex.org/I293362453","display_name":"Polytechnic Institute of Coimbra","ror":"https://ror.org/01n8x4993","country_code":"PT","type":"education","lineage":["https://openalex.org/I293362453"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"T. Rocha","raw_affiliation_strings":["Computer Science and Systems Engineering Department, Polytechnic Institute of Coimbra (IPC/ISEC)"],"affiliations":[{"raw_affiliation_string":"Computer Science and Systems Engineering Department, Polytechnic Institute of Coimbra (IPC/ISEC)","institution_ids":["https://openalex.org/I293362453"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083637401","display_name":"P. Carvalho","orcid":"https://orcid.org/0000-0002-9847-0590"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"P. Carvalho","raw_affiliation_strings":["CISUC, University of Coimbra"],"affiliations":[{"raw_affiliation_string":"CISUC, University of Coimbra","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083997342","display_name":"J. Henriques","orcid":"https://orcid.org/0000-0003-4622-474X"},"institutions":[{"id":"https://openalex.org/I76903346","display_name":"University of Coimbra","ror":"https://ror.org/04z8k9a98","country_code":"PT","type":"education","lineage":["https://openalex.org/I76903346"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"J. Henriques","raw_affiliation_strings":["CISUC, University of Coimbra"],"affiliations":[{"raw_affiliation_string":"CISUC, University of Coimbra","institution_ids":["https://openalex.org/I76903346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035141145","display_name":"Ramona Cabiddu","orcid":"https://orcid.org/0000-0002-6508-5485"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Cabiddu","raw_affiliation_strings":["Dipartimento di-Electronica, Politecnico di Milano"],"affiliations":[{"raw_affiliation_string":"Dipartimento di-Electronica, Politecnico di Milano","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033831989","display_name":"Jo\u00e3o Morais","orcid":"https://orcid.org/0000-0003-3406-2878"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Morais","raw_affiliation_strings":["Investigators of the National Registry on Acute Coronary Syndromes, Portuguese Society of Cardiology"],"affiliations":[{"raw_affiliation_string":"Investigators of the National Registry on Acute Coronary Syndromes, Portuguese Society of Cardiology","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5065391400"],"corresponding_institution_ids":["https://openalex.org/I76903346"],"apc_list":null,"apc_paid":null,"fwci":4.1196,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93983992,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"6800","last_page":"6803"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9817000031471252,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9817000031471252,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9559999704360962,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9523000121116638,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6284425854682922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6101558804512024},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.48175930976867676},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.4804941415786743},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4351833760738373},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.42847275733947754},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.4217525124549866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.404020756483078},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4000174105167389},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.31466472148895264}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6284425854682922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6101558804512024},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.48175930976867676},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.4804941415786743},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4351833760738373},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.42847275733947754},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.4217525124549866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.404020756483078},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4000174105167389},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.31466472148895264},{"id":"https://openalex.org/C512399662","wikidata":"https://www.wikidata.org/wiki/Q3505712","display_name":"Family medicine","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D003658","descriptor_name":"Decision Making, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003658","descriptor_name":"Decision Making, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003658","descriptor_name":"Decision Making, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003663","descriptor_name":"Decision Trees","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":"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":"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":"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":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2015.7319955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7319955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26737855","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26737855","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W572368116","https://openalex.org/W1584935767","https://openalex.org/W1623006543","https://openalex.org/W1634075355","https://openalex.org/W1987968083","https://openalex.org/W2097602401","https://openalex.org/W2119387367","https://openalex.org/W2122111042","https://openalex.org/W2146149132","https://openalex.org/W2149308034","https://openalex.org/W2308071406","https://openalex.org/W2726539084","https://openalex.org/W6636749155"],"related_works":["https://openalex.org/W2900068172","https://openalex.org/W2238030311","https://openalex.org/W1982842519","https://openalex.org/W2166644286","https://openalex.org/W2590898204","https://openalex.org/W2090248941","https://openalex.org/W2377198601","https://openalex.org/W2381980924","https://openalex.org/W2353774927","https://openalex.org/W2081026125"],"abstract_inverted_index":{"The":[0,74,167],"cardioRisk":[1],"project":[2],"addresses":[3],"the":[4,18,31,52,60,77,83,112,177,204,207],"development":[5,113],"of":[6,34,76,106,114,151,162,180,206],"personalized":[7],"risk":[8,33,61,79,165,188],"assessment":[9],"tools":[10,80],"for":[11,37],"patients":[12],"who":[13],"have":[14],"been":[15],"admitted":[16],"to":[17],"hospital":[19],"with":[20,87],"acute":[21],"myocardial":[22],"infarction.":[23],"Although":[24],"there":[25],"are":[26,67],"models":[27,41,66,118],"available":[28,70],"that":[29,46,157],"assess":[30],"short-term":[32],"death/new":[35],"events":[36],"such":[38,65],"patients,":[39],"these":[40,107],"were":[42,201],"established":[43],"in":[44,57,71,82,103,130],"circumstances":[45],"do":[47],"not":[48,68],"take":[49],"into":[50],"account":[51],"present":[53],"clinical":[54,72],"interventions":[55],"and,":[56],"some":[58,105],"cases,":[59],"factors":[62],"used":[63],"by":[64,176],"easily":[69],"practice.":[73],"integration":[75,132],"existing":[78],"(applied":[81],"clinician's":[84],"daily":[85],"practice)":[86],"data-driven":[88],"knowledge":[89],"discovery":[90],"mechanisms":[91],"based":[92,142],"on":[93,120,143],"data":[94],"routinely":[95],"collected":[96],"during":[97],"hospitalizations,":[98],"will":[99,124,127],"be":[100],"a":[101,137,144,152,159,172],"breakthrough":[102],"overcoming":[104],"difficulties.":[108],"In":[109,134],"this":[110,131,135],"context,":[111],"simple":[115,138],"and":[116,126,139,193,199],"interpretable":[117,140],"(based":[119],"recent":[121,173],"datasets),":[122],"unquestionably":[123],"facilitate":[125],"introduce":[128],"confidence":[129],"process.":[133],"work,":[136],"model":[141,155],"real":[145],"dataset":[146,174],"is":[147,169],"proposed.":[148],"It":[149],"consists":[150],"decision":[153],"tree":[154],"structure":[156],"uses":[158],"reduced":[160],"set":[161],"six":[163],"binary":[164],"factors.":[166,189],"validation":[168],"performed":[170],"using":[171],"provided":[175],"Portuguese":[178],"Society":[179],"Cardiology":[181],"(11113":[182],"patients),":[183],"which":[184],"originally":[185],"comprised":[186],"77":[187],"A":[190],"sensitivity,":[191],"specificity":[192],"accuracy":[194],"of,":[195],"respectively,":[196],"80.42%,":[197],"77.25%":[198],"78.80%":[200],"achieved":[202],"showing":[203],"effectiveness":[205],"approach.":[208]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}