{"id":"https://openalex.org/W2990328135","doi":"https://doi.org/10.3906/elk-1811-4","title":"Heart attack mortality prediction: an application of machine learning methods","display_name":"Heart attack mortality prediction: an application of machine learning methods","publication_year":2019,"publication_date":"2019-08-10","ids":{"openalex":"https://openalex.org/W2990328135","doi":"https://doi.org/10.3906/elk-1811-4","mag":"2990328135"},"language":"en","primary_location":{"id":"doi:10.3906/elk-1811-4","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1811-4","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.3906/elk-1811-4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022737149","display_name":"Issam Salman","orcid":"https://orcid.org/0000-0002-4801-6277"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Issam SALMAN","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4801-6277","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022737149"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9565,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.92553583,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":"6","first_page":"4378","last_page":"4389"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9725000262260437,"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":0.9725000262260437,"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":0.9599999785423279,"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/czech","display_name":"Czech","score":0.6496569514274597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5971202254295349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5488430261611938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.53657066822052},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5336039662361145},{"id":"https://openalex.org/keywords/myocardial-infarction","display_name":"Myocardial infarction","score":0.4751731753349304},{"id":"https://openalex.org/keywords/certainty","display_name":"Certainty","score":0.44065260887145996},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43409788608551025},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.3907727897167206},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3539718985557556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34501367807388306},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1681729257106781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12783220410346985},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12408566474914551}],"concepts":[{"id":"https://openalex.org/C2777842544","wikidata":"https://www.wikidata.org/wiki/Q9056","display_name":"Czech","level":2,"score":0.6496569514274597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5971202254295349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5488430261611938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53657066822052},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5336039662361145},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.4751731753349304},{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.44065260887145996},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43409788608551025},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.3907727897167206},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3539718985557556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34501367807388306},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1681729257106781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12783220410346985},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12408566474914551},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":[],"locations_count":2,"locations":[{"id":"doi:10.3906/elk-1811-4","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1811-4","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},{"id":"pmh:oai:dergipark.org.tr:article/662409","is_oa":false,"landing_page_url":"https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/50814/662409","pdf_url":null,"source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\\n                                                                    Volume: 27, Issue: 6\\n                                                                                                    4378-4389\\n                                                                \\n                            ","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3906/elk-1811-4","is_oa":true,"landing_page_url":"https://doi.org/10.3906/elk-1811-4","pdf_url":null,"source":{"id":"https://openalex.org/S32837994","display_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","issn_l":"1300-0632","issn":["1300-0632","1303-6203"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310318422","host_organization_name":"Scientific and Technological Research Council of Turkey (TUBITAK)","host_organization_lineage":["https://openalex.org/P4310318422"],"host_organization_lineage_names":["Scientific and Technological Research Council of Turkey (TUBITAK)"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2782410293","https://openalex.org/W305958151","https://openalex.org/W2724504120","https://openalex.org/W4360856886","https://openalex.org/W2614400517","https://openalex.org/W4378675964","https://openalex.org/W578757760","https://openalex.org/W2760951638","https://openalex.org/W2547738291","https://openalex.org/W3203061336"],"abstract_inverted_index":{"The":[0],"heart":[1,39],"is":[2,15,161],"an":[3],"important":[4],"organ":[5,62],"in":[6,21,36,56,71,101,116,127,178],"the":[7,16,38,44,58,80,84,117,130,137,152,156,159,167,183],"human":[8],"body,":[9],"and":[10,51,120,163,169,181],"acute":[11],"myocardial":[12],"infarction":[13],"(AMI)":[14],"leading":[17],"cause":[18],"of":[19,29,43,60,66,75,83,91,109,155,185],"death":[20],"most":[22],"countries.":[23],"Researchers":[24],"are":[25,104,148],"doing":[26],"a":[27,64,114],"lot":[28],"data":[30,45,108,160,177],"analysis":[31,42],"work":[32],"to":[33,47,136,173],"assist":[34],"doctors":[35],"predicting":[37,57],"problem.":[40],"An":[41],"related":[46],"different":[48,88],"health":[49],"problems":[50],"its":[52],"functions":[53],"can":[54],"help":[55],"wellness":[59],"this":[61,72,102],"with":[63,96,175,188],"degree":[65],"certainty.":[67],"Our":[68],"research":[69],"reported":[70],"paper":[73],"consists":[74],"two":[76,125],"main":[77],"parts.":[78],"In":[79,151],"first":[81],"part":[82,103,154],"paper,":[85,157],"we":[86,139,146,165],"compare":[87,182],"predictive":[89],"models":[90,132],"hospital":[92,115],"mortality":[93],"for":[94],"patients":[95,112,123],"AMI.":[97],"All":[98],"results":[99],"presented":[100],"based":[105],"on":[106],"real":[107],"about":[110,121],"$603$":[111],"from":[113,124],"Czech":[118],"Republic":[119],"$184$":[122],"hospitals":[126],"Syria.":[128],"Although":[129],"learned":[131],"may":[133],"be":[134],"specific":[135],"data,":[138],"also":[140],"draw":[141],"more":[142],"general":[143],"conclusions":[144],"that":[145,176],"think":[147],"generally":[149],"valid.":[150],"second":[153],"because":[158],"incomplete":[162],"imbalanced":[164],"develop":[166],"Chow--Liu":[168],"tree-augmented":[170],"naive":[171],"Bayesian":[172],"deal":[174],"better":[179],"conditions,":[180],"quality":[184],"these":[186],"algorithms":[187],"others.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-04T06:14:18.571774","created_date":"2025-10-10T00:00:00"}