{"id":"https://openalex.org/W2794623127","doi":"https://doi.org/10.1109/conielecomp.2018.8327202","title":"Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013\u20132014","display_name":"Multivariate features selection from demographic and dietary descriptors as caries risk determinants in oral health diagnosis: Data from NHANES 2013\u20132014","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2794623127","doi":"https://doi.org/10.1109/conielecomp.2018.8327202","mag":"2794623127"},"language":"en","primary_location":{"id":"doi:10.1109/conielecomp.2018.8327202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conielecomp.2018.8327202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Electronics, Communications and Computers (CONIELECOMP)","raw_type":"proceedings-article"},"type":"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/A5033853428","display_name":"Laura A. Zanella-Calzada","orcid":"https://orcid.org/0000-0002-8049-8077"},"institutions":[{"id":"https://openalex.org/I47400469","display_name":"Universidad Aut\u00f3noma de Zacatecas \"Francisco Garc\u00eda Salinas\"","ror":"https://ror.org/01m296r74","country_code":"MX","type":"education","lineage":["https://openalex.org/I47400469"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Laura A. Zanella-Calzada","raw_affiliation_strings":["Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico","institution_ids":["https://openalex.org/I47400469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038477494","display_name":"Carlos E. Galv\u00e1n-Tejada","orcid":"https://orcid.org/0000-0002-7635-4687"},"institutions":[{"id":"https://openalex.org/I47400469","display_name":"Universidad Aut\u00f3noma de Zacatecas \"Francisco Garc\u00eda Salinas\"","ror":"https://ror.org/01m296r74","country_code":"MX","type":"education","lineage":["https://openalex.org/I47400469"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos E. Galvan-Tejada","raw_affiliation_strings":["Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico","institution_ids":["https://openalex.org/I47400469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030744311","display_name":"Nubia M. Ch\u00e1vez-Lamas","orcid":"https://orcid.org/0000-0003-1669-9074"},"institutions":[{"id":"https://openalex.org/I47400469","display_name":"Universidad Aut\u00f3noma de Zacatecas \"Francisco Garc\u00eda Salinas\"","ror":"https://ror.org/01m296r74","country_code":"MX","type":"education","lineage":["https://openalex.org/I47400469"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Nubia M. Chavez-Lamas","raw_affiliation_strings":["Cl\u00ednica Comunitaria de Tacoaleche, Unidad Acad\u00e9mica de Odontolog\u00eda, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Cl\u00ednica Comunitaria de Tacoaleche, Unidad Acad\u00e9mica de Odontolog\u00eda, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico","institution_ids":["https://openalex.org/I47400469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010002157","display_name":"Jorge I. Galv\u00e1n-Tejada","orcid":"https://orcid.org/0000-0002-7555-5655"},"institutions":[{"id":"https://openalex.org/I47400469","display_name":"Universidad Aut\u00f3noma de Zacatecas \"Francisco Garc\u00eda Salinas\"","ror":"https://ror.org/01m296r74","country_code":"MX","type":"education","lineage":["https://openalex.org/I47400469"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jorge I. Galvan-Tejada","raw_affiliation_strings":["Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico","institution_ids":["https://openalex.org/I47400469"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055842704","display_name":"Jos\u00e9 M. Celaya-Padilla","orcid":"https://orcid.org/0000-0001-6847-3777"},"institutions":[{"id":"https://openalex.org/I47400469","display_name":"Universidad Aut\u00f3noma de Zacatecas \"Francisco Garc\u00eda Salinas\"","ror":"https://ror.org/01m296r74","country_code":"MX","type":"education","lineage":["https://openalex.org/I47400469"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Jose M. Celaya-Padilla","raw_affiliation_strings":["Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico"],"affiliations":[{"raw_affiliation_string":"Unidad Acad\u00e9mica de Ingenier\u00eda El\u00e9ctrica, Universidad Aut\u00f3noma de Zacatecas, Jard\u00edn Juarez 147, Centro, 98000 Zacatecas, Zac, M\u00e9xico","institution_ids":["https://openalex.org/I47400469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033853428"],"corresponding_institution_ids":["https://openalex.org/I47400469"],"apc_list":null,"apc_paid":null,"fwci":0.5454,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66984091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"69","issue":null,"first_page":"217","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10368","display_name":"Dental Health and Care Utilization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10368","display_name":"Dental Health and Care Utilization","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10257","display_name":"Oral microbiology and periodontitis research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7224283218383789},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5858297348022461},{"id":"https://openalex.org/keywords/national-health-and-nutrition-examination-survey","display_name":"National Health and Nutrition Examination Survey","score":0.5683584809303284},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5608019232749939},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5505183935165405},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.549988329410553},{"id":"https://openalex.org/keywords/epidemiology","display_name":"Epidemiology","score":0.5314463973045349},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"Multivariate analysis","score":0.5223387479782104},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.46140187978744507},{"id":"https://openalex.org/keywords/confounding","display_name":"Confounding","score":0.4431191086769104},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.42495420575141907},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4240809679031372},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.42243367433547974},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.2729526162147522},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27138763666152954},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2513730227947235},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.14467236399650574}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7224283218383789},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5858297348022461},{"id":"https://openalex.org/C2779874844","wikidata":"https://www.wikidata.org/wiki/Q1967281","display_name":"National Health and Nutrition Examination Survey","level":3,"score":0.5683584809303284},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5608019232749939},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5505183935165405},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.549988329410553},{"id":"https://openalex.org/C107130276","wikidata":"https://www.wikidata.org/wiki/Q133805","display_name":"Epidemiology","level":2,"score":0.5314463973045349},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5223387479782104},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.46140187978744507},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.4431191086769104},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.42495420575141907},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4240809679031372},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.42243367433547974},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.2729526162147522},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27138763666152954},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2513730227947235},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.14467236399650574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/conielecomp.2018.8327202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conielecomp.2018.8327202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Electronics, Communications and Computers (CONIELECOMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"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":32,"referenced_works":["https://openalex.org/W24859530","https://openalex.org/W92486268","https://openalex.org/W273955616","https://openalex.org/W1513618424","https://openalex.org/W1578517626","https://openalex.org/W1582409316","https://openalex.org/W1842080361","https://openalex.org/W1890276253","https://openalex.org/W1954903271","https://openalex.org/W1991117802","https://openalex.org/W2006617902","https://openalex.org/W2141014056","https://openalex.org/W2264697858","https://openalex.org/W2278205506","https://openalex.org/W2417460438","https://openalex.org/W2483870898","https://openalex.org/W2496082614","https://openalex.org/W2501665340","https://openalex.org/W2502366096","https://openalex.org/W2604228848","https://openalex.org/W2612490760","https://openalex.org/W2612779711","https://openalex.org/W2618932747","https://openalex.org/W2624498425","https://openalex.org/W2725271321","https://openalex.org/W2763554208","https://openalex.org/W2766744647","https://openalex.org/W2797532987","https://openalex.org/W6603835122","https://openalex.org/W6610017368","https://openalex.org/W6695161424","https://openalex.org/W6723342311"],"related_works":["https://openalex.org/W4306816538","https://openalex.org/W4311044804","https://openalex.org/W2606692828","https://openalex.org/W4309298396","https://openalex.org/W2074089485","https://openalex.org/W2378624038","https://openalex.org/W2140265721","https://openalex.org/W2348421592","https://openalex.org/W3199622279","https://openalex.org/W3035695858"],"abstract_inverted_index":{"The":[0],"main":[1],"pathology":[2,17],"that":[3,206],"make":[4],"up":[5],"the":[6,59,88,190,218],"epidemiological":[7],"profile":[8],"of":[9,40,66,71,146,227],"oral":[10,219],"health":[11,220],"status":[12,221],"is":[13,18],"dental":[14],"caries.":[15,229],"This":[16],"considered":[19],"a":[20,28,38,114],"challenge":[21],"because":[22],"its":[23],"high":[24],"prevalence,":[25],"besides":[26],"being":[27],"chronic":[29],"but":[30],"preventable":[31],"disease,":[32],"which":[33,96],"can":[34],"be":[35,198],"caused":[36],"by":[37,83],"series":[39],"different":[41],"demographic,":[42],"dietary":[43,78,107,181,211],"and":[44,69,77,126,144,166,180,210],"laboratory":[45],"data,":[46],"among":[47],"others.":[48],"Therefore,":[49],"in":[50,99,129],"this":[51],"research":[52],"two":[53,100],"multivariate":[54],"models":[55,158],"were":[56,91,97,111,139],"proposed":[57],"for":[58,163,193,216],"classification":[60,134],"between":[61],"control":[62],"patients":[63],"(\u20180\u2019),":[64],"presence":[65,70],"caries":[67],"(\u20181\u2019)":[68],"restorations":[72],"(\u20182\u2019).":[73],"Analyzing":[74],"189":[75],"demographic":[76,105,172,209],"features":[79,165,212],"from":[80],"NHANES":[81],"2013\u20132014,":[82],"FBS":[84],"method":[85],"based":[86,117,223],"on":[87,118,224],"P-value":[89],"they":[90],"reduced":[92],"to":[93,103,113,131,151,154,197],"24":[94],"features,":[95],"separated":[98],"sets":[101],"according":[102,153],"their":[104,122,133,155,225],"or":[106],"information.":[108],"Both":[109,157],"datasets":[110],"subjected":[112],"statistical":[115,142],"analysis":[116],"linear":[119],"regression,":[120],"obtaining":[121],"residuals,":[123],"AUC,":[124],"ROC":[125],"OR":[127,168],"values,":[128],"order":[130],"validate":[132],"accuracy.":[135],"For":[136],"each":[137,194],"model":[138,174,183],"obtained":[140,175,184],"significant":[141,214],"results":[143,203],"none":[145],"them":[147],"presented":[148],"problems":[149],"related":[150],"outliers,":[152],"residuals.":[156],"shown":[159],"P-values":[160],">":[161],"0.05":[162],"most":[164],"small":[167],"confidence":[169],"intervals.":[170],"Finally,":[171],"data":[173,182],"an":[176,185],"AUC":[177,186,191],"=":[178,187],"0.664":[179],"0.633,":[188],"averaging":[189],"values":[192],"outcome,":[195],"proving":[196],"statistically":[199],"significant.":[200],"By":[201],"these":[202,207],"it's":[204],"concluded":[205],"specific":[208],"are":[213],"determinants":[215],"estimating":[217],"patients,":[222],"likelihood":[226],"developing":[228]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
