{"id":"https://openalex.org/W4387247270","doi":"https://doi.org/10.1145/3616131.3616135","title":"Machine Learning for the Classification of Obesity Levels Based on Lifestyle Factors","display_name":"Machine Learning for the Classification of Obesity Levels Based on Lifestyle Factors","publication_year":2023,"publication_date":"2023-08-17","ids":{"openalex":"https://openalex.org/W4387247270","doi":"https://doi.org/10.1145/3616131.3616135"},"language":"en","primary_location":{"id":"doi:10.1145/3616131.3616135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616131.3616135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010255072","display_name":"Tarek Khater","orcid":"https://orcid.org/0009-0009-4603-8139"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Tarek Khater","raw_affiliation_strings":["Department of Electrical Engineering, University of Sharjah, United Arab Emirates"],"raw_orcid":"https://orcid.org/0009-0009-4603-8139","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062823430","display_name":"Hissam Tawfik","orcid":"https://orcid.org/0000-0002-3613-0910"},"institutions":[{"id":"https://openalex.org/I29891158","display_name":"University of Sharjah","ror":"https://ror.org/00engpz63","country_code":"AE","type":"education","lineage":["https://openalex.org/I29891158"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hissam Tawfik","raw_affiliation_strings":["Department of Electrical Engineering, University of Sharjah, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0002-3613-0910","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Sharjah, United Arab Emirates","institution_ids":["https://openalex.org/I29891158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021730069","display_name":"Balbir Singh","orcid":"https://orcid.org/0000-0002-9044-0418"},"institutions":[{"id":"https://openalex.org/I84027002","display_name":"Leeds Beckett University","ror":"https://ror.org/02xsh5r57","country_code":"GB","type":"education","lineage":["https://openalex.org/I84027002"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Balbir Singh","raw_affiliation_strings":["School of Built Environment, Engineering and Computing, Leeds Beckett University, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9044-0418","affiliations":[{"raw_affiliation_string":"School of Built Environment, Engineering and Computing, Leeds Beckett University, United Kingdom","institution_ids":["https://openalex.org/I84027002"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10866","display_name":"Nutritional Studies and Diet","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9527000188827515,"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/T13522","display_name":"Cardiovascular Health and Risk Factors","score":0.948199987411499,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/obesity","display_name":"Obesity","score":0.7639317512512207},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6651363968849182},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.6293290853500366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5283628106117249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507520318031311},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.4673977494239807},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4493572413921356},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.4478864073753357},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.42733463644981384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4148328900337219},{"id":"https://openalex.org/keywords/gerontology","display_name":"Gerontology","score":0.34545648097991943},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.28085845708847046}],"concepts":[{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.7639317512512207},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6651363968849182},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.6293290853500366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5283628106117249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507520318031311},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.4673977494239807},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4493572413921356},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.4478864073753357},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.42733463644981384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4148328900337219},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","level":1,"score":0.34545648097991943},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.28085845708847046},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616131.3616135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616131.3616135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Cloud and Big Data Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W176721219","https://openalex.org/W2142658068","https://openalex.org/W2592016268","https://openalex.org/W2606665849","https://openalex.org/W2739162352","https://openalex.org/W2745349927","https://openalex.org/W2803437104","https://openalex.org/W2910480204","https://openalex.org/W2916781075","https://openalex.org/W2950048690","https://openalex.org/W2964488346","https://openalex.org/W2997194371","https://openalex.org/W3007189429","https://openalex.org/W3035865306","https://openalex.org/W3090486704","https://openalex.org/W3096103732","https://openalex.org/W3129358128","https://openalex.org/W4246252528","https://openalex.org/W4281630308","https://openalex.org/W4400134761","https://openalex.org/W6758444105"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2386723501","https://openalex.org/W2735662278","https://openalex.org/W2765710158","https://openalex.org/W911162104","https://openalex.org/W4353035154","https://openalex.org/W2097660065","https://openalex.org/W1983507420","https://openalex.org/W3145687392","https://openalex.org/W2121262108"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,34,130,183],"prevalence":[4],"of":[5,26,36,49,88,92,124,135,153,185],"obesity":[6,27,37,50,189],"and":[7,47,61,72,86,162],"its":[8],"related":[9],"co-morbidities":[10],"have":[11],"been":[12],"increasing":[13],"significantly.":[14],"Therefore,":[15],"it":[16],"is":[17,95,129],"an":[18,23,175],"important":[19],"challenge":[20],"to":[21,83,96,116,144,180],"pursue":[22],"early":[24],"prediction":[25,46],"risk":[28],"that":[29,101,141],"could":[30,167],"help":[31],"in":[32],"reducing":[33],"pace":[35],"rise":[38],"when":[39],"appropriate":[40],"interventions":[41],"are":[42,138],"placed,":[43],"accordingly.":[44],"The":[45,90,151],"classification":[48],"depend":[51],"on":[52,69,111,188],"different":[53,122],"factors":[54,120,140,187],"such":[55,147],"as":[56,148,169],"body":[57],"mass":[58],"index":[59],"(BMI)":[60],"lifestyle":[62,107,119,149,186],"aspects,":[63],"including":[64],"eating":[65,73],"habits.":[66],"By":[67],"focusing":[68],"these":[70],"lifestyles":[71],"habit":[74],"factors,":[75],"we":[76],"can":[77,102,142],"develop":[78],"a":[79,98,170],"more":[80],"holistic":[81],"approach":[82],"weight":[84,104,125,146],"management":[85],"prevention":[87],"obesity.":[89],"aim":[91],"this":[93],"paper":[94],"propose":[97],"machine-learning":[99],"model":[100,156,166,179],"classify":[103],"levels":[105,123],"using":[106,174],"variables":[108],"without":[109],"relying":[110],"BMI":[112,128],"which":[113],"enables":[114],"us":[115],"investigate":[117],"how":[118],"affect":[121],"categorization.":[126],"Although":[127],"most":[131],"widely":[132],"used":[133],"estimation":[134],"obesity,":[136],"there":[137],"other":[139],"contribute":[143],"gaining":[145],"factors.":[150],"accuracy":[152],"our":[154],"lifestyle-based":[155],"reached":[157],"75%":[158],"excluding":[159],"weight,":[160],"height,":[161],"family":[163],"history.":[164],"Our":[165],"serve":[168],"starting":[171],"point":[172],"for":[173],"interpretable":[176],"machine":[177],"learning":[178],"better":[181],"understand":[182],"effect":[184],"levels.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
