{"id":"https://openalex.org/W3136165395","doi":"https://doi.org/10.1109/bigdata50022.2020.9378496","title":"Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning","display_name":"Predicting Opioid Overdose Readmission and Opioid Use Disorder with Machine Learning","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136165395","doi":"https://doi.org/10.1109/bigdata50022.2020.9378496","mag":"3136165395"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5042377070","display_name":"Sarah McDougall","orcid":null},"institutions":[{"id":"https://openalex.org/I131221577","display_name":"Bucknell University","ror":"https://ror.org/00fc1qt65","country_code":"US","type":"education","lineage":["https://openalex.org/I131221577"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah McDougall","raw_affiliation_strings":["Bucknell University, Lewisburg, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bucknell University, Lewisburg, PA, USA","institution_ids":["https://openalex.org/I131221577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022893713","display_name":"Priyanka Annapureddy","orcid":"https://orcid.org/0009-0000-9959-327X"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Priyanka Annapureddy","raw_affiliation_strings":["Marquette University, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031689008","display_name":"Praveen Madiraju","orcid":"https://orcid.org/0009-0006-9737-9601"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praveen Madiraju","raw_affiliation_strings":["Marquette University, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040669309","display_name":"Nicole Fumo","orcid":null},"institutions":[{"id":"https://openalex.org/I204308271","display_name":"Medical College of Wisconsin","ror":"https://ror.org/00qqv6244","country_code":"US","type":"education","lineage":["https://openalex.org/I204308271"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicole Fumo","raw_affiliation_strings":["Medical College of Wisconsin, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical College of Wisconsin, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I204308271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086010705","display_name":"Stephen Hargarten","orcid":"https://orcid.org/0000-0002-5834-9809"},"institutions":[{"id":"https://openalex.org/I204308271","display_name":"Medical College of Wisconsin","ror":"https://ror.org/00qqv6244","country_code":"US","type":"education","lineage":["https://openalex.org/I204308271"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Hargarten","raw_affiliation_strings":["Medical College of Wisconsin, Milwaukee, WI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical College of Wisconsin, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I204308271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4062,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71714519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4892","last_page":"4901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9901999831199646,"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":0.9901999831199646,"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/T10576","display_name":"Opioid Use Disorder Treatment","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10645","display_name":"Cardiac Arrest and Resuscitation","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/opioid-overdose","display_name":"Opioid overdose","score":0.757083535194397},{"id":"https://openalex.org/keywords/opioid-use-disorder","display_name":"Opioid use disorder","score":0.7329944372177124},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.6460930705070496},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6221669912338257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5950665473937988},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5322909951210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49519672989845276},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4754323959350586},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46680477261543274},{"id":"https://openalex.org/keywords/opioid","display_name":"Opioid","score":0.3582184314727783},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.3320690393447876},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.32505273818969727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.32500484585762024},{"id":"https://openalex.org/keywords/naloxone","display_name":"(+)-Naloxone","score":0.23143607378005981},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1149369478225708}],"concepts":[{"id":"https://openalex.org/C2779148768","wikidata":"https://www.wikidata.org/wiki/Q17154378","display_name":"Opioid overdose","level":5,"score":0.757083535194397},{"id":"https://openalex.org/C2779418921","wikidata":"https://www.wikidata.org/wiki/Q1639178","display_name":"Opioid use disorder","level":4,"score":0.7329944372177124},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.6460930705070496},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6221669912338257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5950665473937988},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5322909951210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49519672989845276},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4754323959350586},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46680477261543274},{"id":"https://openalex.org/C2781063702","wikidata":"https://www.wikidata.org/wiki/Q427523","display_name":"Opioid","level":3,"score":0.3582184314727783},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.3320690393447876},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.32505273818969727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32500484585762024},{"id":"https://openalex.org/C2778750930","wikidata":"https://www.wikidata.org/wiki/Q4540629","display_name":"(+)-Naloxone","level":4,"score":0.23143607378005981},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1149369478225708},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378496","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378496","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2101234009","https://openalex.org/W2141173017","https://openalex.org/W2148143831","https://openalex.org/W2177350256","https://openalex.org/W2413789492","https://openalex.org/W2511950764","https://openalex.org/W2549885908","https://openalex.org/W2625625371","https://openalex.org/W2784168210","https://openalex.org/W2784499877","https://openalex.org/W2788245025","https://openalex.org/W2905810301","https://openalex.org/W2911463506","https://openalex.org/W2919256513","https://openalex.org/W2938056789","https://openalex.org/W2958172594","https://openalex.org/W2963078493","https://openalex.org/W2985962305","https://openalex.org/W3000475066","https://openalex.org/W3008685875","https://openalex.org/W3098949126","https://openalex.org/W3104523752","https://openalex.org/W6675354045","https://openalex.org/W6680930200","https://openalex.org/W6685812147"],"related_works":["https://openalex.org/W3011239835","https://openalex.org/W4312534362","https://openalex.org/W3213126983","https://openalex.org/W3185760728","https://openalex.org/W2915047625","https://openalex.org/W4390126346","https://openalex.org/W3095492073","https://openalex.org/W4321996937","https://openalex.org/W4393870663","https://openalex.org/W2955994854"],"abstract_inverted_index":{"Opioid":[0],"use":[1,14],"disorder":[2],"(OUD)":[3],"is":[4],"a":[5,62],"medical":[6],"condition":[7],"associated":[8],"with":[9,85],"problematic":[10],"patterns":[11],"of":[12,36,48,88],"opioid":[13,40],"that":[15],"cause":[16],"interpersonal":[17],"and":[18,42,83,122],"social":[19],"impairment.":[20],"This":[21,112],"research":[22],"demonstrates":[23],"how":[24],"supervised":[25],"machine":[26,69],"learning":[27,70],"can":[28,95,114],"be":[29],"used":[30],"to":[31,43],"predict":[32,44,97],"patients":[33,45,98],"at":[34,46,99],"risk":[35,47,100],"hospital":[37,58],"readmission":[38],"following":[39],"overdose,":[41],"developing":[49],"OUD.":[50],"Two":[51],"labeled":[52],"datasets":[53],"were":[54,72],"built":[55],"from":[56],"deidentified":[57],"data":[59],"provided":[60],"by":[61],"Level":[63],"I":[64],"Trauma":[65],"Center":[66],"Hospital.":[67],"Several":[68],"models":[71],"constructed":[73],"(logistic":[74],"regression,":[75],"random":[76],"forest,":[77],"support":[78],"vector":[79],"machine,":[80],"AdaBoost,":[81],"XGBoost)":[82],"validated":[84],"10":[86],"iterations":[87],"10-fold":[89],"cross":[90],"validation.":[91],"The":[92],"XGBoost":[93],"classifier":[94],"sufficiently":[96],"for":[101,124],"OUD":[102],"(AUC":[103],"=":[104,107,110],"0.78,":[105],"precision":[106],"0.71,":[108],"recall":[109],"0.53).":[111],"work":[113],"assist":[115],"providers":[116],"in":[117],"determining":[118],"appropriate":[119],"preventive":[120],"care":[121],"resources":[123],"at-risk":[125],"patients.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}