{"id":"https://openalex.org/W2404404763","doi":"https://doi.org/10.3233/978-1-61499-276-9-198","title":"An Analytic Approach to Understanding and Predicting Healthcare Coverage","display_name":"An Analytic Approach to Understanding and Predicting Healthcare Coverage","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2404404763","doi":"https://doi.org/10.3233/978-1-61499-276-9-198","mag":"2404404763","pmid":"https://pubmed.ncbi.nlm.nih.gov/23823421"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-276-9-198","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-276-9-198","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5049563716","display_name":"Dursun Delen","orcid":"https://orcid.org/0000-0001-8857-5148"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Delen Dursun","raw_affiliation_strings":["Center for Health Systems Innovation, Oklahoma State University"],"affiliations":[{"raw_affiliation_string":"Center for Health Systems Innovation, Oklahoma State University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059894868","display_name":"Christie M. Fuller","orcid":"https://orcid.org/0000-0001-6792-1101"},"institutions":[{"id":"https://openalex.org/I919208787","display_name":"Louisiana Tech University","ror":"https://ror.org/04q9esz89","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I919208787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fuller Christie","raw_affiliation_strings":["Louisiana Tech University"],"affiliations":[{"raw_affiliation_string":"Louisiana Tech University","institution_ids":["https://openalex.org/I919208787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049563716"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13370179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"190","issue":null,"first_page":"198","last_page":"200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10391","display_name":"Healthcare Policy and Management","score":0.9158999919891357,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10391","display_name":"Healthcare Policy and Management","score":0.9158999919891357,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6717883348464966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837690830230713},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40152692794799805},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08520638942718506}],"concepts":[{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6717883348464966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837690830230713},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40152692794799805},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08520638942718506},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004522","descriptor_name":"Educational Status","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004522","descriptor_name":"Educational Status","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004522","descriptor_name":"Educational Status","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004651","descriptor_name":"Employment","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004651","descriptor_name":"Employment","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004651","descriptor_name":"Employment","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012923","descriptor_name":"Social Class","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012923","descriptor_name":"Social Class","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012923","descriptor_name":"Social Class","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D014481","descriptor_name":"United States","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D017533","descriptor_name":"Marital Status","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017533","descriptor_name":"Marital Status","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017533","descriptor_name":"Marital Status","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017677","descriptor_name":"Age Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017677","descriptor_name":"Age Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017677","descriptor_name":"Age Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017678","descriptor_name":"Sex Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017678","descriptor_name":"Sex Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017678","descriptor_name":"Sex Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019458","descriptor_name":"Insurance Coverage","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019458","descriptor_name":"Insurance Coverage","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D019458","descriptor_name":"Insurance Coverage","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-276-9-198","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-276-9-198","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:23823421","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23823421","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0,107,137,152],"inequality":[1],"in":[2,11,71,179,183],"the":[3,9,12,33,40,48,96,100,112,120,133,158,169,181],"level":[4],"of":[5,42,51,61,103,130,160,171],"healthcare":[6,24,49,166],"coverage":[7,25,50,167],"among":[8],"people":[10,20],"US":[13],"is":[14,29,45,69,105],"a":[15,59],"pressing":[16],"issue.":[17],"Unfortunately,":[18],"many":[19],"do":[21],"not":[22],"have":[23],"and":[26,66,86,149,156],"much":[27],"research":[28],"needed":[30],"to":[31,36,46,95,154,163],"identify":[32,155],"factors":[34,141],"leading":[35],"this":[37,43,117],"phenomenon.":[38],"Hence,":[39],"goal":[41],"study":[44],"examine":[47],"individuals":[52],"by":[53],"applying":[54],"popular":[55,75],"analytic":[56],"techniques":[57],"on":[58,132],"wide-variety":[60],"predictive":[62,140],"factors.":[63],"A":[64],"large":[65],"feature-rich":[67],"dataset":[68],"used":[70,178],"conjunction":[72],"with":[73],"four":[74],"data":[76],"mining":[77],"techniques-artificial":[78],"neural":[79],"networks,":[80],"decision":[81],"trees,":[82],"support":[83,121],"vector":[84,122],"machines":[85,123],"logistic":[87],"regression-to":[88],"develop":[89],"prediction":[90,98],"models.":[91],"Applying":[92],"sensitivity":[93],"analysis":[94],"developed":[97],"models,":[99],"ranked":[101],"importance":[102],"variables":[104],"determined.":[106],"experimental":[108],"results":[109],"indicated":[110],"that":[111,124],"most":[113,138],"accurate":[114,172],"classifier":[115],"for":[116],"phenomenon":[118],"was":[119],"had":[125],"an":[126],"overall":[127],"classification":[128,173],"accuracy":[129],"82.23%":[131],"10-fold":[134],"holdout/test":[135],"sample.":[136],"important":[139],"came":[142],"out":[143],"as":[144],"income,":[145],"employment":[146],"status,":[147],"education,":[148],"marital":[150],"status.":[151],"ability":[153],"explain":[157],"reasoning":[159],"those":[161],"likely":[162],"be":[164,177],"without":[165],"through":[168],"application":[170],"models":[174],"can":[175],"potentially":[176],"reducing":[180],"disparity":[182],"health":[184],"care":[185],"coverage.":[186]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}