{"id":"https://openalex.org/W2183823969","doi":null,"title":"A Fuzzy Optimization Technique for the Prediction of Coronary Heart Disease Using Decision Tree","display_name":"A Fuzzy Optimization Technique for the Prediction of Coronary Heart Disease Using Decision Tree","publication_year":2014,"publication_date":"2014-01-28","ids":{"openalex":"https://openalex.org/W2183823969","mag":"2183823969"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.411.4940","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.4940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.enggjournals.com/ijet/docs/IJET13-05-03-164.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5030701090","display_name":"Persi Pamela I","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Persi Pamela I","raw_affiliation_strings":["VIT University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT University","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101977720","display_name":"P. Gayathri","orcid":"https://orcid.org/0000-0001-5661-742X","observed_orcids":["https://orcid.org/0000-0001-5661-742X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gayathri P","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021903676","display_name":"N. Jaisankar","orcid":"https://orcid.org/0000-0002-8845-1302","observed_orcids":["https://orcid.org/0000-0002-8845-1302"]},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Jaisankar","raw_affiliation_strings":["VIT University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VIT University","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5551,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88742346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9994999766349792,"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":0.9994999766349792,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":9.999999747378752e-05,"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/coronary-artery-disease","display_name":"coronary artery disease","score":0.8389999866485596},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"fuzzy logic","score":0.5049999952316284},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.7369999885559082},{"id":"https://openalex.org/keywords/cart","display_name":"CART","score":0.6110000014305115},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9539999961853027},{"id":"https://openalex.org/keywords/fuzzy-membership-function-optimization","display_name":"fuzzy membership function optimization","score":0.8479999899864197},{"id":"https://openalex.org/keywords/fuzzy-inference-system","display_name":"fuzzy inference system","score":0.6349999904632568},{"id":"https://openalex.org/keywords/heart-disease-diagnosis","display_name":"heart disease diagnosis","score":0.671999990940094},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.628000020980835},{"id":"https://openalex.org/keywords/heart-disease-dataset","display_name":"heart disease dataset","score":0.5920000076293945}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7191910743713379},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6622785329818726},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6557077169418335},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.6457611322402954},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5877769589424133},{"id":"https://openalex.org/C3018906752","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary heart disease","level":2,"score":0.5236653685569763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5219725370407104},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.43747472763061523},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4341100752353668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42768263816833496},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4149574339389801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3999169170856476},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2606569826602936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24916347861289978},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.15221428871154785},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.411.4940","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.411.4940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.enggjournals.com/ijet/docs/IJET13-05-03-164.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W59303145","https://openalex.org/W1969599513","https://openalex.org/W1975250652","https://openalex.org/W1988116476","https://openalex.org/W2019974437","https://openalex.org/W2030414968","https://openalex.org/W2043606064","https://openalex.org/W2049768409","https://openalex.org/W2050006661","https://openalex.org/W2066897873","https://openalex.org/W2080084655","https://openalex.org/W2092964187","https://openalex.org/W2097352283","https://openalex.org/W2113730462","https://openalex.org/W2118111392","https://openalex.org/W2142181701","https://openalex.org/W2143755314","https://openalex.org/W2147645183","https://openalex.org/W2165126443","https://openalex.org/W2171287186","https://openalex.org/W2229325109","https://openalex.org/W2250033699"],"related_works":["https://openalex.org/W4410639720","https://openalex.org/W2381430440","https://openalex.org/W2147645183","https://openalex.org/W2157076137","https://openalex.org/W3173961884","https://openalex.org/W4237274252","https://openalex.org/W2308074264","https://openalex.org/W1171616665","https://openalex.org/W2910181325","https://openalex.org/W2993696341"],"abstract_inverted_index":{"Abstract-":[0],"Data":[1],"mining":[2,74],"along":[3,70],"with":[4,18,71],"soft":[5,62],"computing":[6,63],"techniques":[7],"helps":[8],"to":[9,31,94,139,168,192],"unravel":[10],"hidden":[11],"relationships":[12],"and":[13,20,34,43,50,106,185],"diagnose":[14],"diseases":[15],"efficiently":[16],"even":[17],"uncertainties":[19],"inaccuracies.":[21],"Coronary":[22],"Heart":[23],"Disease":[24],"(CHD)":[25],"is":[26,47,58,65,149],"a":[27,72],"killer":[28],"disease":[29,120,184],"leading":[30],"heart":[32,81,119,183],"attack":[33],"sudden":[35],"deaths.":[36],"Since":[37],"the":[38,61,84,103,112,118,140,152,155,160,163,175,179,187],"diagnosis":[39,46,52,78,99],"involves":[40],"vague":[41],"symptoms":[42],"tedious":[44],"procedures,":[45],"usually":[48],"time-consuming":[49],"false":[51],"may":[53],"occur.":[54],"A":[55,143],"fuzzy":[56,141,156,176],"system":[57,177],"one":[59],"of":[60,79,154,162,181],"methodologies":[64],"proposed":[66],"in":[67],"this":[68],"paper":[69],"data":[73],"technique":[75,148],"for":[76,97,151],"efficient":[77,96],"coronary":[80,182],"disease.":[82],"Though":[83],"database":[85],"has":[86],"76":[87],"attributes,":[88],"only":[89,111],"14":[90],"attributes":[91,114,124],"are":[92,115,127,136,166],"found":[93,191],"be":[95,193],"CHD":[98],"as":[100],"per":[101],"all":[102],"published":[104],"experiments":[105],"doctors":[107],"\u2019":[108],"opinion.":[109],"So":[110],"essential":[113],"taken":[116],"from":[117,174],"database.":[121],"From":[122],"these":[123],"crisp":[125],"rules":[126],"obtained":[128],"by":[129],"employing":[130],"CART":[131],"decision":[132],"tree":[133],"algorithm,":[134],"which":[135],"then":[137],"applied":[138,150],"system.":[142],"Particle":[144],"Swarm":[145],"Optimization":[146],"(PSO)":[147],"optimization":[153],"membership":[157,164],"functions":[158,165],"where":[159],"parameters":[161],"altered":[167],"new":[169],"positions.":[170],"The":[171],"result":[172],"interpreted":[173],"predicts":[178],"prevalence":[180],"also":[186],"system\u2019s":[188],"accuracy":[189],"was":[190],"good.":[194]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
