{"id":"https://openalex.org/W4403004145","doi":"https://doi.org/10.3389/fdata.2024.1469981","title":"Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach","display_name":"Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach","publication_year":2024,"publication_date":"2024-09-30","ids":{"openalex":"https://openalex.org/W4403004145","doi":"https://doi.org/10.3389/fdata.2024.1469981","pmid":"https://pubmed.ncbi.nlm.nih.gov/39403430"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2024.1469981","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1469981","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1469981/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1469981/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107670754","display_name":"Zarindokht Helforoush","orcid":null},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zarindokht Helforoush","raw_affiliation_strings":["Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Systems Engineering, Florida Institute of Technology, Melbourne, FL, United States","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072054368","display_name":"Hossein Sayyad","orcid":"https://orcid.org/0000-0002-2383-6586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hossein Sayyad","raw_affiliation_strings":["Independent Researcher, Melbourne, FL, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher, Melbourne, FL, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5107670754"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":{"value":1285,"currency":"USD","value_usd":1285},"apc_paid":{"value":1285,"currency":"USD","value_usd":1285},"fwci":21.7656,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.99338392,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"1469981","last_page":"1469981"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8058000206947327,"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":0.8058000206947327,"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":0.01510000042617321,"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/T13434","display_name":"Cancer Research and Treatment","score":0.011300000362098217,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/machine-learning","display_name":"Machine learning","score":0.776056170463562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6900148987770081},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.5848983526229858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5848022103309631},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4913116991519928},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.4552059471607208},{"id":"https://openalex.org/keywords/obesity","display_name":"Obesity","score":0.43752869963645935},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.43085977435112},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.41030511260032654},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3322983682155609},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25017231702804565},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21899443864822388},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1759016513824463}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.776056170463562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6900148987770081},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.5848983526229858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5848022103309631},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4913116991519928},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.4552059471607208},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.43752869963645935},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.43085977435112},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.41030511260032654},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3322983682155609},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25017231702804565},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21899443864822388},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1759016513824463},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2024.1469981","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1469981","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1469981/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:39403430","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39403430","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":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11471553","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11471553","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11471553/pdf/fdata-07-1469981.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a81de911f0e1454d893bff5165060ff6","is_oa":true,"landing_page_url":"https://doaj.org/article/a81de911f0e1454d893bff5165060ff6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 7 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2024.1469981","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2024.1469981","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1469981/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403004145.pdf","grobid_xml":"https://content.openalex.org/works/W4403004145.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W2001548922","https://openalex.org/W2039063847","https://openalex.org/W2047480545","https://openalex.org/W2049854914","https://openalex.org/W2076062344","https://openalex.org/W2103647733","https://openalex.org/W2109364787","https://openalex.org/W2116692231","https://openalex.org/W2126926002","https://openalex.org/W2129958556","https://openalex.org/W2148143831","https://openalex.org/W2170112669","https://openalex.org/W2295598076","https://openalex.org/W2593086047","https://openalex.org/W2734652954","https://openalex.org/W2735376054","https://openalex.org/W2753014607","https://openalex.org/W2768149277","https://openalex.org/W2768348081","https://openalex.org/W2773493351","https://openalex.org/W2789894922","https://openalex.org/W2898227265","https://openalex.org/W2899235031","https://openalex.org/W2962862931","https://openalex.org/W2964461202","https://openalex.org/W2964488346","https://openalex.org/W2978378060","https://openalex.org/W2979485816","https://openalex.org/W2995420665","https://openalex.org/W3013330736","https://openalex.org/W3041721999","https://openalex.org/W3096319654","https://openalex.org/W3122262679","https://openalex.org/W3124185496","https://openalex.org/W3135772869","https://openalex.org/W3154320592","https://openalex.org/W3156926154","https://openalex.org/W3175812218","https://openalex.org/W4220703596","https://openalex.org/W4243150065","https://openalex.org/W4256049924","https://openalex.org/W4281717400","https://openalex.org/W4283214321","https://openalex.org/W4283693011","https://openalex.org/W4292083457","https://openalex.org/W4292212876","https://openalex.org/W4364377167","https://openalex.org/W4387396751","https://openalex.org/W4387538817","https://openalex.org/W6678845729","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W2169196470","https://openalex.org/W3113185420","https://openalex.org/W4237580245","https://openalex.org/W4385368139","https://openalex.org/W2906134827","https://openalex.org/W4322745238","https://openalex.org/W4241245680","https://openalex.org/W3124327509","https://openalex.org/W3200688510","https://openalex.org/W4384833310"],"abstract_inverted_index":{"Introduction:":[0],"As":[1],"the":[2,30,46,61,101,113,154,168],"global":[3,162],"prevalence":[4],"of":[5,48,84,103,116],"obesity":[6,53,107,134,170],"continues":[7],"to":[8,28,40,51,93,142,148,156,166],"rise,":[9],"it":[10],"has":[11],"become":[12],"a":[13,80,125],"major":[14],"public":[15,121,163],"health":[16,122,164],"concern":[17],"requiring":[18],"more":[19],"accurate":[20],"prediction":[21],"methods.":[22,89],"Traditional":[23],"regression":[24,88],"models":[25,119,138],"often":[26],"fail":[27],"capture":[29],"complex":[31],"interactions":[32],"between":[33],"genetic,":[34],"environmental,":[35],"and":[36,72,145],"behavioral":[37],"factors":[38,105],"contributing":[39],"obesity.":[41],"Methods:":[42],"This":[43],"study":[44],"explores":[45],"potential":[47],"machine-learning":[49,118,159],"techniques":[50],"improve":[52],"risk":[54,135],"prediction.":[55],"Various":[56],"supervised":[57],"learning":[58],"algorithms,":[59],"including":[60],"novel":[62],"ANN-PSO":[63,77],"hybrid":[64],"model,":[65],"were":[66],"applied":[67],"following":[68],"comprehensive":[69],"data":[70],"preprocessing":[71],"evaluation.":[73],"Results:":[74],"The":[75,110,151],"proposed":[76],"model":[78],"achieved":[79],"remarkable":[81],"accuracy":[82],"rate":[83],"92%,":[85],"outperforming":[86],"traditional":[87],"SHAP":[90],"was":[91],"employed":[92],"analyze":[94],"feature":[95],"importance,":[96],"offering":[97,124],"deeper":[98],"insights":[99],"into":[100,161],"influence":[102],"various":[104],"on":[106],"risk.":[108],"Discussion:":[109],"findings":[111],"highlight":[112],"transformative":[114],"role":[115],"advanced":[117],"in":[120],"research,":[123],"pathway":[126],"for":[127],"personalized":[128],"healthcare":[129,140],"interventions.":[130],"By":[131],"providing":[132],"detailed":[133],"profiles,":[136],"these":[137],"enable":[139],"providers":[141],"tailor":[143],"prevention":[144],"treatment":[146],"strategies":[147],"individual":[149],"needs.":[150],"results":[152],"underscore":[153],"need":[155],"integrate":[157],"innovative":[158],"approaches":[160],"efforts":[165],"combat":[167],"growing":[169],"epidemic.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":27}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}