{"id":"https://openalex.org/W3022470673","doi":"https://doi.org/10.1186/s40537-020-00302-z","title":"Leveraging machine learning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management","display_name":"Leveraging machine learning and big data for optimizing medication prescriptions in complex diseases: a case study in diabetes management","publication_year":2020,"publication_date":"2020-04-10","ids":{"openalex":"https://openalex.org/W3022470673","doi":"https://doi.org/10.1186/s40537-020-00302-z","mag":"3022470673"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-020-00302-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00302-z","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00302-z","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00302-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014029770","display_name":"Mahsa Madani Hosseini","orcid":"https://orcid.org/0000-0002-5423-1897"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Mahsa Madani Hosseini","raw_affiliation_strings":["Ted Rogers School of Management, Ryerson University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Ted Rogers School of Management, Ryerson University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081231390","display_name":"Manaf Zargoush","orcid":"https://orcid.org/0000-0002-5052-4828"},"institutions":[{"id":"https://openalex.org/I98251732","display_name":"McMaster University","ror":"https://ror.org/02fa3aq29","country_code":"CA","type":"education","lineage":["https://openalex.org/I98251732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Manaf Zargoush","raw_affiliation_strings":["DeGroote School of Business, McMaster University, Hamilton, ON, Canada"],"affiliations":[{"raw_affiliation_string":"DeGroote School of Business, McMaster University, Hamilton, ON, Canada","institution_ids":["https://openalex.org/I98251732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040056327","display_name":"Farrokh Alemi","orcid":"https://orcid.org/0000-0002-7402-9063"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farrokh Alemi","raw_affiliation_strings":["Health Informatics Program, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Health Informatics Program, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075709427","display_name":"Raya Kheirbek","orcid":"https://orcid.org/0000-0003-0755-1940"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raya Elfadel Kheirbek","raw_affiliation_strings":["School of Medicine, University of Maryland, Baltimore, MD, USA"],"affiliations":[{"raw_affiliation_string":"School of Medicine, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014029770"],"corresponding_institution_ids":["https://openalex.org/I530967"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.4127,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.90011757,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9962000250816345,"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":0.9894000291824341,"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/T10401","display_name":"Diabetes Treatment and Management","score":0.9872999787330627,"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/computer-science","display_name":"Computer science","score":0.7186973690986633},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6869326829910278},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6458513736724854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.608659029006958},{"id":"https://openalex.org/keywords/medical-prescription","display_name":"Medical prescription","score":0.5881099104881287},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4958096444606781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48600825667381287},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4610068202018738},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4442346394062042},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24363046884536743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11520883440971375}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7186973690986633},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6869326829910278},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6458513736724854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.608659029006958},{"id":"https://openalex.org/C2426938","wikidata":"https://www.wikidata.org/wiki/Q3355478","display_name":"Medical prescription","level":2,"score":0.5881099104881287},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4958096444606781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48600825667381287},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4610068202018738},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4442346394062042},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24363046884536743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11520883440971375},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-020-00302-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00302-z","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00302-z","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:65db6251cd034278acb5063ca35e6eae","is_oa":true,"landing_page_url":"https://doaj.org/article/65db6251cd034278acb5063ca35e6eae","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 7, Iss 1, Pp 1-24 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-020-00302-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-020-00302-z","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-020-00302-z","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022470673.pdf","grobid_xml":"https://content.openalex.org/works/W3022470673.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1015225754","https://openalex.org/W1547708675","https://openalex.org/W1566688548","https://openalex.org/W1590736827","https://openalex.org/W1704891933","https://openalex.org/W1769824028","https://openalex.org/W1975359639","https://openalex.org/W1989902454","https://openalex.org/W1994264723","https://openalex.org/W2003956196","https://openalex.org/W2008904760","https://openalex.org/W2012608865","https://openalex.org/W2017505271","https://openalex.org/W2019863704","https://openalex.org/W2020774075","https://openalex.org/W2091932047","https://openalex.org/W2104915788","https://openalex.org/W2107568836","https://openalex.org/W2110032746","https://openalex.org/W2112925036","https://openalex.org/W2117812871","https://openalex.org/W2118669252","https://openalex.org/W2120822075","https://openalex.org/W2121877929","https://openalex.org/W2136292511","https://openalex.org/W2141011831","https://openalex.org/W2142472527","https://openalex.org/W2143117649","https://openalex.org/W2143891888","https://openalex.org/W2145196739","https://openalex.org/W2149680409","https://openalex.org/W2150180487","https://openalex.org/W2182226822","https://openalex.org/W2185303328","https://openalex.org/W2271491336","https://openalex.org/W2281697559","https://openalex.org/W2591102410","https://openalex.org/W2591557384","https://openalex.org/W2606281213","https://openalex.org/W2736722877","https://openalex.org/W2751522459","https://openalex.org/W2757460696","https://openalex.org/W2768214444","https://openalex.org/W2777811290","https://openalex.org/W2780645176","https://openalex.org/W2785637175","https://openalex.org/W2790203313","https://openalex.org/W2793478514","https://openalex.org/W2795257806","https://openalex.org/W2802660806","https://openalex.org/W2804354698","https://openalex.org/W2806380084","https://openalex.org/W2807942571","https://openalex.org/W2811085227","https://openalex.org/W2874928922","https://openalex.org/W2893457521","https://openalex.org/W2906092989","https://openalex.org/W2921773708","https://openalex.org/W2924939949","https://openalex.org/W2942883778","https://openalex.org/W2946139765","https://openalex.org/W2946671629","https://openalex.org/W2955148946","https://openalex.org/W2989784201","https://openalex.org/W4289556003","https://openalex.org/W4301264738"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2361820086","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"proposes":[3],"a":[4,55,205],"novel":[5],"algorithm":[6,31,61,167],"for":[7,66,117,171],"optimizing":[8],"decision":[9,202],"variables":[10],"with":[11,48,141,154,198],"respect":[12],"to":[13,42,62,193],"an":[14],"outcome":[15],"variable":[16],"of":[17,36,90,101,115,173],"interest":[18],"in":[19,39,51,161,184],"complex":[20,52,183,195],"problems,":[21],"such":[22],"as":[23],"those":[24],"arising":[25],"from":[26,74],"big":[27,185],"data.":[28],"The":[29,107,150,165,188],"proposed":[30,166],"builds":[32],"on":[33,112],"the":[34,44,60,87,98,102,144,155,162,169,174],"notion":[35],"Markov":[37],"blankets":[38],"Bayesian":[40,176,196],"networks":[41],"alleviate":[43],"computational":[45],"challenges":[46],"associated":[47],"optimization":[49],"tasks":[50],"datasets.":[53],"Through":[54],"case":[56,108],"study,":[57],"we":[58,84],"apply":[59],"optimize":[63],"medication":[64,148],"prescriptions":[65],"diabetic":[67,91,119],"patients,":[68],"who":[69],"have":[70],"different":[71],"characteristics,":[72],"suffer":[73],"multiple":[75,79,201],"comorbidities,":[76],"and":[77,130,159,204],"take":[78],"medications":[80,92,103],"concurrently.":[81],"In":[82],"particular,":[83],"demonstrate":[85],"how":[86],"optimal":[88,134,147],"combination":[89],"can":[93,180,190],"be":[94,181,191],"found":[95],"by":[96],"examining":[97],"comparative":[99],"effectiveness":[100],"among":[104],"similar":[105],"patients.":[106,120],"study":[109],"is":[110],"based":[111],"5":[113],"years":[114],"data":[116,186],"19,223":[118],"Our":[121],"results":[122,151],"indicate":[123],"that":[124],"certain":[125],"patient":[126],"characteristics":[127],"(e.g.,":[128],"clinical":[129,157],"demographic":[131],"features)":[132],"influence":[133],"treatment":[135],"decisions.":[136],"Among":[137],"patients":[138],"examined,":[139],"monotherapy":[140],"metformin":[142],"was":[143],"most":[145],"common":[146],"decision.":[149],"are":[152],"consistent":[153],"relevant":[156],"guidelines":[158],"reports":[160],"medical":[163],"literature.":[164],"obviates":[168],"need":[170],"knowledge":[172],"whole":[175],"network":[177,197],"model,":[178],"which":[179],"very":[182],"problems.":[187],"procedure":[189],"applied":[192],"any":[194],"numerous":[199],"features,":[200],"variables,":[203],"target":[206],"variable.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
