{"id":"https://openalex.org/W2894106258","doi":"https://doi.org/10.1609/aaai.v33i01.3301710","title":"Learning to Address Health Inequality in the United States with a Bayesian Decision Network","display_name":"Learning to Address Health Inequality in the United States with a Bayesian Decision Network","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2894106258","doi":"https://doi.org/10.1609/aaai.v33i01.3301710","mag":"2894106258"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.3301710","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301710","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3849/3727","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3849/3727","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108813642","display_name":"Tavpritesh Sethi","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tavpritesh Sethi","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103259763","display_name":"Anant Mittal","orcid":"https://orcid.org/0009-0000-9085-8446"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anant Mittal","raw_affiliation_strings":["Indraprastha Institute of Information Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108816997","display_name":"Shubham Maheshwari","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubham Maheshwari","raw_affiliation_strings":["Indraprastha Institute of Information Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indraprastha Institute of Information Technology","institution_ids":["https://openalex.org/I119939252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069311680","display_name":"Samarth Chugh","orcid":null},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]},{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samarth Chugh","raw_affiliation_strings":["Netaji Subhas Institute of Technology, Delhi University, Delhi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netaji Subhas Institute of Technology, Delhi University, Delhi","institution_ids":["https://openalex.org/I36090812","https://openalex.org/I110166357"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"710","last_page":"717"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9642000198364258,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9388999938964844,"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/life-expectancy","display_name":"Life expectancy","score":0.646558940410614},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5762560367584229},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5085462331771851},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.500659704208374},{"id":"https://openalex.org/keywords/inequality","display_name":"Inequality","score":0.48774296045303345},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4233863353729248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3971301019191742},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3520527482032776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23876559734344482},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19963142275810242},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1975897252559662},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.178920179605484},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.1708257496356964},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14299428462982178},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.1157800555229187}],"concepts":[{"id":"https://openalex.org/C133925201","wikidata":"https://www.wikidata.org/wiki/Q188419","display_name":"Life expectancy","level":3,"score":0.646558940410614},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5762560367584229},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5085462331771851},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.500659704208374},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.48774296045303345},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4233863353729248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3971301019191742},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3520527482032776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23876559734344482},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19963142275810242},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1975897252559662},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.178920179605484},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.1708257496356964},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14299428462982178},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.1157800555229187},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.3301710","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301710","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3849/3727","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/3849","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.3301710","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.3301710","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3849/3727","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G421503989","display_name":null,"funder_award_id":"IA/CPHE/14/1/501504","funder_id":"https://openalex.org/F4320325580","funder_display_name":"The Wellcome Trust DBT India Alliance"}],"funders":[{"id":"https://openalex.org/F4320311904","display_name":"Wellcome Trust","ror":"https://ror.org/029chgv08"},{"id":"https://openalex.org/F4320320717","display_name":"Department of Biotechnology, Ministry of Science and Technology, India","ror":"https://ror.org/03tjsyq23"},{"id":"https://openalex.org/F4320325580","display_name":"The Wellcome Trust DBT India Alliance","ror":"https://ror.org/04reqzt68"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2894106258.pdf","grobid_xml":"https://content.openalex.org/works/W2894106258.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W2034009564","https://openalex.org/W2064186732","https://openalex.org/W2081042264","https://openalex.org/W2101857176","https://openalex.org/W2129327240","https://openalex.org/W2138696311","https://openalex.org/W2158970602","https://openalex.org/W2163209812","https://openalex.org/W2332787986","https://openalex.org/W2582743722","https://openalex.org/W2738975713","https://openalex.org/W2886283492","https://openalex.org/W2888171911","https://openalex.org/W2972689037","https://openalex.org/W3145915828","https://openalex.org/W3201444869","https://openalex.org/W4293872269","https://openalex.org/W4392147004","https://openalex.org/W4399521722","https://openalex.org/W6637603158","https://openalex.org/W6658899072","https://openalex.org/W6763400521"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W3025979028","https://openalex.org/W3126472548"],"abstract_inverted_index":{"Life-expectancy":[0],"is":[1,50,75],"a":[2,28,51,55,116,144],"complex":[3],"outcome":[4],"driven":[5],"by":[6,62,114],"genetic,":[7],"socio-demographic,":[8],"environmental":[9],"and":[10,15,79,88,96,125,140,163,178,188,195],"geographic":[11],"factors.":[12],"Increasing":[13],"socio-economic":[14],"health":[16,97],"disparities":[17],"in":[18,110,204],"the":[19,24,81,108,111,136,157,166,198],"United":[20,112],"States":[21,113],"are":[22],"propagating":[23],"longevity-gap,":[25],"making":[26],"it":[27,74,142],"cause":[29],"for":[30,85,93,106,148,156,185],"concern.":[31],"Earlier":[32],"studies":[33],"have":[34],"probed":[35],"individual":[36],"factors":[37],"but":[38],"an":[39,130,182],"integrated":[40],"picture":[41],"to":[42,67,70,77,143,190,196],"reveal":[43,103],"quantifiable":[44],"actions":[45],"has":[46],"been":[47],"missing.":[48],"There":[49],"growing":[52],"concern":[53],"about":[54],"further":[56],"widening":[57],"of":[58,83,159,169,200],"healthcare":[59],"inequality":[60],"caused":[61],"Artificial":[63],"Intelligence":[64],"(AI)":[65],"due":[66],"differential":[68],"access":[69],"AI-driven":[71],"services.":[72],"Hence,":[73],"imperative":[76],"explore":[78,197],"exploit":[80],"potential":[82],"AI":[84],"illuminating":[86],"biases":[87],"enabling":[89,186],"transparent":[90],"policy":[91,150],"decisions":[92],"positive":[94],"social":[95],"impact.":[98],"In":[99],"this":[100,176,205],"work,":[101],"we":[102,174],"actionable":[104],"interventions":[105],"decreasing":[107],"longevitygap":[109],"analyzing":[115],"County-level":[117],"data":[118],"resource":[119],"containing":[120],"healthcare,":[121],"socio-economic,":[122],"behavioral,":[123],"education":[124],"demographic":[126],"features.":[127],"We":[128,152],"learn":[129],"ensembleaveraged":[131],"structure,":[132],"draw":[133,153],"inferences":[134],"using":[135],"joint":[137],"probability":[138],"distribution":[139],"extend":[141],"Bayesian":[145],"Decision":[146],"Network":[147],"identifying":[149],"actions.":[151],"quantitative":[154],"estimates":[155],"impact":[158,199],"diversity,":[160],"preventive-care":[161],"quality":[162],"stablefamilies":[164],"within":[165],"unified":[167],"framework":[168],"our":[170,192],"decision":[171],"network.":[172],"Finally,":[173],"make":[175],"analysis":[177],"dashboard":[179],"available":[180],"as":[181],"interactive":[183],"web-application":[184],"users":[187],"policy-makers":[189],"validate":[191],"reported":[193,203],"findings":[194],"ones":[201],"beyond":[202],"work.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
