{"id":"https://openalex.org/W4391229388","doi":"https://doi.org/10.3233/shti231089","title":"Equitable Machine Learning for Hypoglycaemia Risk Management","display_name":"Equitable Machine Learning for Hypoglycaemia Risk Management","publication_year":2024,"publication_date":"2024-01-25","ids":{"openalex":"https://openalex.org/W4391229388","doi":"https://doi.org/10.3233/shti231089","pmid":"https://pubmed.ncbi.nlm.nih.gov/38269933"},"language":"en","primary_location":{"id":"doi:10.3233/shti231089","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti231089","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231089","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231089","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002348519","display_name":"Jhordany Rodriguez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jhordany Rodriguez","raw_affiliation_strings":["Alcidion, South Yarra, VIC, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alcidion, South Yarra, VIC, US","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044718199","display_name":"Daniel Padilla","orcid":"https://orcid.org/0000-0002-6678-5029"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Padilla","raw_affiliation_strings":["Alcidion, South Yarra, VIC, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alcidion, South Yarra, VIC, US","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113104725","display_name":"Lenert Bruce","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lenert Bruce","raw_affiliation_strings":["Murrumbidgee LHD, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Murrumbidgee LHD, NSW, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093789058","display_name":"Ben Thow","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Thow","raw_affiliation_strings":["Alcidion, South Yarra, VIC, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alcidion, South Yarra, VIC, US","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109872400","display_name":"Malcolm Pradhan","orcid":"https://orcid.org/0009-0003-3295-1046"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Malcolm Pradhan","raw_affiliation_strings":["University of Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109872400"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":1.8008,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85824608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"310","issue":null,"first_page":"870","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11623","display_name":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10560","display_name":"Diabetes Management and Research","score":0.9200999736785889,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/disadvantage","display_name":"Disadvantage","score":0.6105716228485107},{"id":"https://openalex.org/keywords/equity","display_name":"Equity (law)","score":0.5951564311981201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5445743203163147},{"id":"https://openalex.org/keywords/indigenous","display_name":"Indigenous","score":0.479897141456604},{"id":"https://openalex.org/keywords/risk-management","display_name":"Risk management","score":0.46629613637924194},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.4345475435256958},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.42030656337738037},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3839688003063202},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3561767339706421},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.3474791646003723},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3449951410293579},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.34359806776046753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3312329649925232},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.21994292736053467},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19241467118263245},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.1307986080646515},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.10412546992301941},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.1023721992969513},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.09970638155937195}],"concepts":[{"id":"https://openalex.org/C2777673361","wikidata":"https://www.wikidata.org/wiki/Q5281228","display_name":"Disadvantage","level":2,"score":0.6105716228485107},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.5951564311981201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5445743203163147},{"id":"https://openalex.org/C55958113","wikidata":"https://www.wikidata.org/wiki/Q169480","display_name":"Indigenous","level":2,"score":0.479897141456604},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.46629613637924194},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.4345475435256958},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.42030656337738037},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3839688003063202},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3561767339706421},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3474791646003723},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3449951410293579},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.34359806776046753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3312329649925232},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.21994292736053467},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19241467118263245},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.1307986080646515},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.10412546992301941},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1023721992969513},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.09970638155937195},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001315","descriptor_name":"Australia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001315","descriptor_name":"Australia","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001315","descriptor_name":"Australia","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":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D007003","descriptor_name":"Hypoglycemia","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D007004","descriptor_name":"Hypoglycemic Agents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007004","descriptor_name":"Hypoglycemic Agents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007004","descriptor_name":"Hypoglycemic Agents","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012308","descriptor_name":"Risk Management","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012308","descriptor_name":"Risk Management","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012308","descriptor_name":"Risk Management","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/shti231089","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti231089","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231089","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:38269933","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38269933","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":{"id":"doi:10.3233/shti231089","is_oa":true,"landing_page_url":"https://doi.org/10.3233/shti231089","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/SHTI231089","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":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391229388.pdf"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2075281490","https://openalex.org/W2111791285","https://openalex.org/W2950621678","https://openalex.org/W2965160582","https://openalex.org/W3092706811","https://openalex.org/W3209221591","https://openalex.org/W4210736086","https://openalex.org/W6910681941"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W562558886","https://openalex.org/W2164828924","https://openalex.org/W2524081694"],"abstract_inverted_index":{"We":[0,60,88],"developed":[1],"a":[2,37,71],"machine":[3],"learning":[4],"(ML)":[5],"model":[6,31,46,68],"for":[7,115,122,128],"the":[8,24,55,67,102,116,133],"detection":[9,25,134],"of":[10,15,28,135],"patients":[11],"with":[12],"high":[13],"risk":[14],"hypoglycaemic":[16],"events":[17],"during":[18],"their":[19],"hospital":[20],"stay":[21],"to":[22,49,64,131,142],"improve":[23],"and":[26,138],"management":[27],"hypoglycaemia.":[29],"Our":[30],"was":[32,47],"trained":[33],"on":[34,83,109],"data":[35],"from":[36],"regional":[38],"local":[39],"health":[40],"care":[41],"district":[42],"in":[43,54,70,79,97],"Australia.":[44],"The":[45],"found":[48,89],"have":[50],"good":[51],"predictive":[52],"performance":[53],"general":[56],"case":[57,81],"(AUC":[58],"0.837).":[59],"conducted":[61],"subgroup":[62],"analysis":[63,121],"ensure":[65],"that":[66,73,90],"performed":[69],"way":[72],"did":[74,106],"not":[75,107],"disadvantage":[76],"population":[77],"subgroups,":[78],"this":[80],"based":[82],"gender":[84],"or":[85,112],"indigenous":[86],"status.":[87],"our":[91],"specific":[92],"problem":[93],"domain":[94],"assisted":[95],"us":[96],"reducing":[98],"unwanted":[99],"bias":[100],"within":[101],"model,":[103],"because":[104],"it":[105],"rely":[108],"practice":[110],"patterns":[111],"subjective":[113],"judgements":[114],"outcome":[117],"measure.":[118],"With":[119],"careful":[120],"equity":[123],"there":[124],"is":[125],"great":[126],"potential":[127],"ML":[129],"models":[130],"automate":[132,139],"high-risk":[136],"cohorts":[137],"mitigation":[140],"strategies":[141],"reduce":[143],"preventable":[144],"errors.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}