{"id":"https://openalex.org/W4386242312","doi":"https://doi.org/10.1145/3600211.3604753","title":"Advancing Health Equity with Machine Learning","display_name":"Advancing Health Equity with Machine Learning","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4386242312","doi":"https://doi.org/10.1145/3600211.3604753"},"language":"en","primary_location":{"id":"doi:10.1145/3600211.3604753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600211.3604753","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 AAAI/ACM Conference on AI, Ethics, and Society","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/A5081852226","display_name":"Vishwali Mhasawade","orcid":"https://orcid.org/0000-0003-1269-7071"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vishwali Mhasawade","raw_affiliation_strings":["Computer Science, New York University, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5081852226"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1710971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"955","last_page":"956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11531","display_name":"Healthcare Systems and Reforms","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/T11531","display_name":"Healthcare Systems and Reforms","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9810000061988831,"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/T13555","display_name":"Healthcare cost, quality, practices","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/health-equity","display_name":"Health equity","score":0.7191827893257141},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6488790512084961},{"id":"https://openalex.org/keywords/privilege","display_name":"Privilege (computing)","score":0.5719779133796692},{"id":"https://openalex.org/keywords/social-determinants-of-health","display_name":"Social determinants of health","score":0.539160966873169},{"id":"https://openalex.org/keywords/equity","display_name":"Equity (law)","score":0.5319402813911438},{"id":"https://openalex.org/keywords/population-health","display_name":"Population health","score":0.46425727009773254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46229928731918335},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.4163437485694885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36864471435546875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34900104999542236},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.342610627412796},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.34193629026412964},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34181419014930725},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.231808602809906},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.22176599502563477},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.1980104148387909},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1777854561805725}],"concepts":[{"id":"https://openalex.org/C2250968","wikidata":"https://www.wikidata.org/wiki/Q1512929","display_name":"Health equity","level":3,"score":0.7191827893257141},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6488790512084961},{"id":"https://openalex.org/C2780138299","wikidata":"https://www.wikidata.org/wiki/Q3404265","display_name":"Privilege (computing)","level":2,"score":0.5719779133796692},{"id":"https://openalex.org/C78491826","wikidata":"https://www.wikidata.org/wiki/Q3045352","display_name":"Social determinants of health","level":3,"score":0.539160966873169},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.5319402813911438},{"id":"https://openalex.org/C2778149918","wikidata":"https://www.wikidata.org/wiki/Q3291156","display_name":"Population health","level":3,"score":0.46425727009773254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46229928731918335},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.4163437485694885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36864471435546875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34900104999542236},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.342610627412796},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.34193629026412964},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34181419014930725},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.231808602809906},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.22176599502563477},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.1980104148387909},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1777854561805725},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3600211.3604753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3600211.3604753","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 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2015037790","https://openalex.org/W2170183224","https://openalex.org/W2890984537","https://openalex.org/W2969525885","https://openalex.org/W3098951702","https://openalex.org/W3124833072","https://openalex.org/W3134501548","https://openalex.org/W3183479408","https://openalex.org/W3184865800","https://openalex.org/W4225603140"],"related_works":["https://openalex.org/W2435667741","https://openalex.org/W4390476459","https://openalex.org/W4327545484","https://openalex.org/W3156911701","https://openalex.org/W4352987018","https://openalex.org/W4318302321","https://openalex.org/W1564200203","https://openalex.org/W4388740158","https://openalex.org/W4313555445","https://openalex.org/W4387910789"],"abstract_inverted_index":{"Social":[0],"privilege":[1],"in":[2,21,102],"terms":[3],"of":[4,12,47,55],"power,":[5],"wealth,":[6],"and":[7,28,32,59,62,82,95,99,104],"prestige":[8],"is":[9,50],"the":[10,35,53],"driver":[11],"avoidable":[13],"health":[14,40,57,69,103],"inequities.":[15],"But":[16],"today,":[17],"machine":[18,64,83],"learning":[19,65,84],"systems":[20,29,66],"healthcare":[22],"are":[23],"largely":[24],"focused":[25],"on":[26,79],"data":[27,87],"within":[30],"hospitals":[31],"clinics,":[33],"ignoring":[34],"factors":[36],"that":[37],"lead":[38],"to":[39,51,73,97],"disparities":[41],"across":[42],"communities.":[43],"The":[44],"primary":[45],"goal":[46],"my":[48],"research":[49],"understand":[52],"drivers":[54],"population":[56],"inequity":[58],"design":[60],"fair":[61],"equitable":[63],"for":[67],"mitigating":[68],"disparities.":[70],"In":[71],"order":[72],"do":[74],"this,":[75],"I":[76],"mainly":[77],"focus":[78],"causal":[80],"inference":[81],"methods":[85],"using":[86],"from":[88],"multiple":[89],"environments,":[90],"such":[91],"as":[92],"geographical":[93],"locations":[94],"hospitals,":[96],"identify":[98],"address":[100],"inequities":[101],"healthcare.":[105]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}