{"id":"https://openalex.org/W2096944949","doi":"https://doi.org/10.1109/icisa.2013.6579436","title":"LDL-Cholesterol Levels Measurement Using Hybrid Genetic Algorithm and Multiple Linear Regression","display_name":"LDL-Cholesterol Levels Measurement Using Hybrid Genetic Algorithm and Multiple Linear Regression","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2096944949","doi":"https://doi.org/10.1109/icisa.2013.6579436","mag":"2096944949"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icisa.2013.6579436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"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/A5009124882","display_name":"Kritbodin Phiwhorm","orcid":"https://orcid.org/0000-0002-9257-6415"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Kritbodin Phiwhorm","raw_affiliation_strings":["Department of Computer Science, Khon Kaen University, Khon Kaen, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103271801","display_name":"Somjit Arch\u2010int","orcid":"https://orcid.org/0000-0002-1684-5409"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Somjit Arch-int","raw_affiliation_strings":["Department of Computer Science, Khon Kaen University, Khon Kaen, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.458,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.529605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":78},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9445,"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":0.9445,"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/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9376,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9057,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.7745286},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.536735},{"id":"https://openalex.org/C2778163477","wikidata":"https://www.wikidata.org/wiki/Q43656","display_name":"Cholesterol","level":2,"score":0.5271387},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4827956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46020573},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45999607},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44910806},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42013207},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3410315},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23216578},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16295302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15644127}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icisa.2013.6579436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.62,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W1964976687","https://openalex.org/W2002979815","https://openalex.org/W2030989305","https://openalex.org/W2084970744","https://openalex.org/W2096886698","https://openalex.org/W2100253618","https://openalex.org/W2110040410","https://openalex.org/W2904250082","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W4399767649","https://openalex.org/W4289356671","https://openalex.org/W3216594821","https://openalex.org/W31220157","https://openalex.org/W2610868774","https://openalex.org/W2393341384","https://openalex.org/W2390006526","https://openalex.org/W2312753042","https://openalex.org/W2092994918","https://openalex.org/W1915333409"],"abstract_inverted_index":{"Cholesterol":[0],"level":[1,18],"is":[2,45,58,67,109,161],"the":[3,16,39,49,55,61,68,90,96,101,115,118,122,142,167,175,181,204,212],"significant":[4],"factor":[5,87],"which":[6,52,71,129],"causes":[7],"cardiovascular":[8],"disease.":[9,97],"The":[10,42,64,98,197],"cholesterol":[11,40,84,106],"types":[12],"used":[13,36],"to":[14,37,94,113,135,156,165],"measure":[15,38],"fat":[17],"are":[19,33,85],"total,":[20],"low":[21],"density":[22,26],"lipoprotein":[23,27],"(LDL),":[24],"high":[25,62,102],"(HDL)":[28],"and":[29,76,150,163,190],"Triglycerides":[30],"(TG).":[31],"There":[32],"two":[34],"methods":[35,144],"level.":[41],"first":[43],"method":[44,66,124],"by":[46,60],"directly":[47],"measuring":[48],"patient":[50],"blood":[51],"although":[53],"yields":[54],"best":[56],"accuracy,":[57],"accompanied":[59],"cost.":[63],"second":[65],"calculation":[69,123],"method,":[70],"has":[72],"a":[73,77,133,151,208],"lower":[74,78],"cost,":[75,117],"accuracy.":[79],"High":[80],"levels":[81,107],"of":[82,104,127],"LDL":[83,105,168],"important":[86],"that":[88,160,203],"increase":[89],"risk":[91],"for":[92,100],"patients":[93],"acquire":[95],"cost":[99],"accuracy":[103,128,210],"detection":[108,119],"expensive.":[110],"In":[111,170],"order":[112],"decrease":[114],"overall":[116],"process":[120],"using":[121],"requires":[125],"improvement":[126],"could":[130],"then":[131],"justify":[132],"change":[134],"use":[136],"this":[137,171],"method.":[138],"This":[139],"study":[140],"presents":[141],"combination":[143],"between":[145],"Multiple":[146,191],"Linear":[147,192],"Regression":[148,193],"(MLR)":[149],"Hybrid":[152],"Genetic":[153,194],"Algorithm":[154,195],"(HGA)":[155],"explore":[157],"an":[158,201],"equation":[159],"precise":[162],"suitable":[164],"detect":[166],"cholesterol.":[169],"experiment,":[172],"we":[173],"compare":[174],"results":[176,213],"from":[177,214],"MLR-HGA":[178,205],"technique":[179],"with":[180],"other":[182,215],"three":[183,216],"methods,":[184],"i.e.":[185],"Friedewald":[186],"formula":[187],"(FF),":[188],"MLR":[189],"(MLR-GA).":[196],"findings":[198],"resulted":[199],"in":[200],"investigated":[202],"techniques":[206],"have":[207],"higher":[209],"than":[211],"methods.":[217]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2096944949","counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2024-12-21T21:12:08.837247","created_date":"2016-06-24"}