{"id":"https://openalex.org/W4406260420","doi":"https://doi.org/10.1109/bibm62325.2024.10822603","title":"An MLOps Approach for Deploying Machine Learning Models in Healthcare Systems","display_name":"An MLOps Approach for Deploying Machine Learning Models in Healthcare Systems","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406260420","doi":"https://doi.org/10.1109/bibm62325.2024.10822603"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11586/526923","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025463578","display_name":"Giulio Mallardi","orcid":"https://orcid.org/0000-0001-5847-117X"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giulio Mallardi","raw_affiliation_strings":["University of Bari,Dept. of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari,Dept. of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017685793","display_name":"Fabio Calefato","orcid":"https://orcid.org/0000-0003-2654-1588"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Calefato","raw_affiliation_strings":["University of Bari,Dept. of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari,Dept. of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002259496","display_name":"Luigi Quaranta","orcid":"https://orcid.org/0000-0002-9221-0739"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luigi Quaranta","raw_affiliation_strings":["University of Bari,Dept. of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari,Dept. of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072863196","display_name":"Filippo Lanubile","orcid":"https://orcid.org/0000-0003-3373-7589"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Lanubile","raw_affiliation_strings":["University of Bari,Dept. of Computer Science,Bari,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari,Dept. of Computer Science,Bari,Italy","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025463578"],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":4.5487,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.95253905,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"6832","last_page":"6837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.6888999938964844,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.6888999938964844,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.6761000156402588,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6646391153335571},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5742896199226379},{"id":"https://openalex.org/keywords/healthcare-system","display_name":"Healthcare system","score":0.5702165961265564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38941726088523865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3313857316970825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6646391153335571},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5742896199226379},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.5702165961265564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38941726088523865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3313857316970825},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:ricerca.uniba.it:11586/526923","is_oa":true,"landing_page_url":"https://hdl.handle.net/11586/526923","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:ricerca.uniba.it:11586/526923","is_oa":true,"landing_page_url":"https://hdl.handle.net/11586/526923","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2897042519","https://openalex.org/W2908201961","https://openalex.org/W2954370766","https://openalex.org/W3035507081","https://openalex.org/W3038004684","https://openalex.org/W3173148850","https://openalex.org/W3214886154","https://openalex.org/W4283801824","https://openalex.org/W4306407947","https://openalex.org/W4360995249","https://openalex.org/W4383749422","https://openalex.org/W4387242317","https://openalex.org/W6762562549","https://openalex.org/W6764932524"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"there":[3],"has":[4,73],"been":[5],"a":[6,23,77,98,114,138,182],"remarkable":[7],"increase":[8],"in":[9,17,163],"the":[10,38,45,58,107,126,143,175],"use":[11],"of":[12,128,146],"machine":[13],"learning":[14],"(ML)":[15],"technologies":[16],"healthcare":[18,61,134,194],"settings.":[19],"Despite":[20],"this":[21,172],"growth,":[22],"significant":[24],"challenge":[25],"persists:":[26],"numerous":[27],"promising":[28],"initiatives":[29],"remain":[30],"confined":[31],"to":[32,36,101,124,187,191],"research":[33,48],"laboratories,":[34],"unable":[35],"make":[37],"critical":[39],"transition":[40],"into":[41,132,149],"clinical":[42,150],"practice.":[43],"While":[44],"gap":[46],"between":[47],"and":[49,65,93,105,116,152,156,170],"production":[50],"deployment":[51],"affects":[52],"ML":[53,103,130],"projects":[54],"across":[55,196],"various":[56],"sectors,":[57],"stringently":[59],"regulated":[60],"environment":[62],"poses":[63],"unique":[64],"heightened":[66],"challenges.":[67],"To":[68],"address":[69],"these":[70],"challenges,":[71],"MLOps":[72,96],"recently":[74],"emerged":[75],"as":[76],"specialized":[78],"discipline":[79],"that":[80,141],"combines":[81],"engineering":[82,91],"best":[83],"practices":[84],"with":[85,158],"operational":[86],"excellence.":[87],"Building":[88],"upon":[89],"software":[90],"foundations":[92],"DevOps":[94],"principles,":[95],"introduces":[97,113],"systematic":[99],"approach":[100,140],"automating":[102],"workflows":[104],"managing":[106],"complete":[108],"model":[109],"lifecycle.":[110],"This":[111,120],"paper":[112],"practical":[115],"comprehensive":[117],"MLOps-based":[118],"framework.":[119],"framework":[121,173],"is":[122],"designed":[123],"facilitate":[125],"transformation":[127],"experimental":[129],"models":[131],"production-ready":[133],"solutions.":[135],"It":[136],"provides":[137],"structured":[139],"ensures":[142],"seamless":[144],"integration":[145],"ML-powered":[147],"tools":[148],"environments":[151],"guarantees":[153],"their":[154,164],"reliability":[155],"compliance":[157],"medical":[159],"standards,":[160],"instilling":[161],"confidence":[162],"effectiveness.":[165],"We":[166],"are":[167],"currently":[168],"implementing":[169],"evaluating":[171],"within":[174],"\"DARE":[176],"\u2013":[177],"Digital":[178],"Lifelong":[179],"Prevention\"":[180],"project,":[181],"national":[183],"Italian":[184],"initiative":[185],"aiming":[186],"harness":[188],"data":[189],"analytics":[190],"enhance":[192],"preventive":[193],"strategies":[195],"different":[197],"life":[198],"stages.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2025-10-10T00:00:00"}
