{"id":"https://openalex.org/W2754510604","doi":"https://doi.org/10.1109/embc.2017.8037650","title":"Wrapper method for feature selection to classify cardiac arrhythmia","display_name":"Wrapper method for feature selection to classify cardiac arrhythmia","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2754510604","doi":"https://doi.org/10.1109/embc.2017.8037650","mag":"2754510604","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060691"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5004330906","display_name":"Anam Mustaqeem","orcid":null},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Anam Mustaqeem","raw_affiliation_strings":["Department of Software Engineering, University of Engineering & Technology, Taxila, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Engineering & Technology, Taxila, Pakistan","institution_ids":["https://openalex.org/I173207729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073762312","display_name":"Syed Muhammad Anwar","orcid":null},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Syed Muhammad Anwar","raw_affiliation_strings":["Department of Software Engineering, University of Engineering & Technology, Taxila, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, University of Engineering & Technology, Taxila, Pakistan","institution_ids":["https://openalex.org/I173207729"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080542553","display_name":"Muhammad Majid","orcid":"https://orcid.org/0000-0003-3662-2525"},"institutions":[{"id":"https://openalex.org/I173207729","display_name":"University of Engineering and Technology Taxila","ror":"https://ror.org/03v00ka07","country_code":"PK","type":"education","lineage":["https://openalex.org/I173207729"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Majid","raw_affiliation_strings":["Department Computer Engineering, University of Engineering & Technology, Taxila, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Computer Engineering, University of Engineering & Technology, Taxila, Pakistan","institution_ids":["https://openalex.org/I173207729"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104059650","display_name":"Abdul Rashid Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I192891849","display_name":"University of Wah","ror":"https://ror.org/020we4134","country_code":"PK","type":"education","lineage":["https://openalex.org/I192891849"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Abdul Rashid Khan","raw_affiliation_strings":["Wah Medical College, Wah Cantt, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wah Medical College, Wah Cantt, Pakistan","institution_ids":["https://openalex.org/I192891849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2017","issue":null,"first_page":"3656","last_page":"3659"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8290556073188782},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8256033658981323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7676634788513184},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7514191269874573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6757246851921082},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6728527545928955},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6604130268096924},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5920872092247009},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5348682999610901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5308006405830383},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5232059955596924},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47136345505714417},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4710761606693268},{"id":"https://openalex.org/keywords/cardiac-arrhythmia","display_name":"Cardiac arrhythmia","score":0.42840737104415894},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4118427634239197},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4014613926410675},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33629554510116577}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8290556073188782},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8256033658981323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7676634788513184},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7514191269874573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757246851921082},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6728527545928955},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6604130268096924},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5920872092247009},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5348682999610901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5308006405830383},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5232059955596924},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47136345505714417},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4710761606693268},{"id":"https://openalex.org/C2988455589","wikidata":"https://www.wikidata.org/wiki/Q189331","display_name":"Cardiac arrhythmia","level":3,"score":0.42840737104415894},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4118427634239197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4014613926410675},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33629554510116577},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","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}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001145","descriptor_name":"Arrhythmias, Cardiac","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001145","descriptor_name":"Arrhythmias, Cardiac","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001145","descriptor_name":"Arrhythmias, Cardiac","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":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":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":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2017.8037650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060691","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060691","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1517530713","https://openalex.org/W1960174506","https://openalex.org/W1989977532","https://openalex.org/W2025508891","https://openalex.org/W2063923412","https://openalex.org/W2074228806","https://openalex.org/W2087016914","https://openalex.org/W2150247202","https://openalex.org/W2156665896","https://openalex.org/W2172135815","https://openalex.org/W2330783468","https://openalex.org/W2505404725","https://openalex.org/W2510301586","https://openalex.org/W2540844077","https://openalex.org/W2576060307","https://openalex.org/W2964128045","https://openalex.org/W4298188449"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"Efficient":[0],"monitoring":[1],"of":[2,9,36,67,124,141],"cardiac":[3],"patients":[4],"can":[5],"save":[6],"tremendous":[7],"amount":[8],"lives.":[10],"Cardiac":[11,62],"disease":[12],"prediction":[13],"and":[14,106,131,135],"classification":[15,35],"has":[16,74],"gained":[17],"utmost":[18],"significance":[19],"in":[20],"this":[21],"regard":[22],"during":[23],"the":[24,59,78,83,139],"past":[25],"few":[26],"years.":[27],"This":[28],"paper":[29],"presents":[30],"a":[31],"predictive":[32],"model":[33,39],"for":[34,77,129],"arrhythmias.":[37],"The":[38,110],"works":[40],"by":[41,52,119],"selecting":[42],"best":[43],"features":[44],"using":[45],"wrapper":[46],"algorithm":[47],"around":[48],"random":[49,104],"forest,":[50,105],"followed":[51],"implementing":[53],"various":[54],"machine":[55,71,96],"learning":[56,72],"classifiers":[57,118],"on":[58,93],"selected":[60],"features.":[61],"arrhythmia":[63],"dataset":[64],"from":[65],"University":[66],"California,":[68],"Irvine":[69],"(UCI)":[70],"repository":[73],"been":[75],"used":[76],"experimental":[79,111],"purpose.":[80],"After":[81],"normalizing":[82],"data,":[84],"repeated":[85],"cross":[86],"validation":[87],"with":[88],"10":[89],"folds":[90],"is":[91],"applied":[92],"support":[94],"vector":[95],"(SVM),":[97],"K":[98],"nearest":[99],"neighbor":[100],"(KNN),":[101],"Na\u00efve":[102],"Bayes,":[103],"Multi-Layer":[107],"perceptron":[108],"(MLP).":[109],"results":[112],"demonstrate":[113],"that":[114],"MLP":[115],"beats":[116],"other":[117],"achieving":[120],"an":[121],"average":[122],"accuracy":[123],"78.26%,":[125],"while":[126],"accuracies":[127,140],"calculated":[128],"KNN":[130],"SVM":[132],"are":[133],"76.6%":[134],"74.4%":[136],"respectively,":[137],"outperforming":[138],"previous":[142],"models.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
