{"id":"https://openalex.org/W4402475035","doi":"https://doi.org/10.1109/ccece59415.2024.10667100","title":"Efficient Machine Learning Model Deployment in Clinical Decision Support Systems","display_name":"Efficient Machine Learning Model Deployment in Clinical Decision Support Systems","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W4402475035","doi":"https://doi.org/10.1109/ccece59415.2024.10667100"},"language":"en","primary_location":{"id":"doi:10.1109/ccece59415.2024.10667100","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccece59415.2024.10667100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5110210547","display_name":"R.L. Alvarez","orcid":null},"institutions":[{"id":"https://openalex.org/I39466443","display_name":"Langara College","ror":"https://ror.org/05qp50e50","country_code":"CA","type":"education","lineage":["https://openalex.org/I39466443"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Roxanne Alvarez","raw_affiliation_strings":["Langara College,Department of Mathematics and Statistics,Vancouver,Canada"],"affiliations":[{"raw_affiliation_string":"Langara College,Department of Mathematics and Statistics,Vancouver,Canada","institution_ids":["https://openalex.org/I39466443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051446798","display_name":"Jinghao Chen","orcid":"https://orcid.org/0009-0006-8754-9558"},"institutions":[{"id":"https://openalex.org/I39466443","display_name":"Langara College","ror":"https://ror.org/05qp50e50","country_code":"CA","type":"education","lineage":["https://openalex.org/I39466443"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinghao Chen","raw_affiliation_strings":["Langara College,Department of Mathematics and Statistics,Vancouver,Canada"],"affiliations":[{"raw_affiliation_string":"Langara College,Department of Mathematics and Statistics,Vancouver,Canada","institution_ids":["https://openalex.org/I39466443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101501770","display_name":"Quynh T. Nguyen","orcid":"https://orcid.org/0000-0002-3265-3386"},"institutions":[{"id":"https://openalex.org/I39466443","display_name":"Langara College","ror":"https://ror.org/05qp50e50","country_code":"CA","type":"education","lineage":["https://openalex.org/I39466443"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Quynh T Nguyen","raw_affiliation_strings":["Langara College,Department of Mathematics and Statistics,Vancouver,Canada"],"affiliations":[{"raw_affiliation_string":"Langara College,Department of Mathematics and Statistics,Vancouver,Canada","institution_ids":["https://openalex.org/I39466443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110210547"],"corresponding_institution_ids":["https://openalex.org/I39466443"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19787844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"103","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9038000106811523,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9038000106811523,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"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/software-deployment","display_name":"Software deployment","score":0.7932139039039612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162805795669556},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5604586601257324},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.45844411849975586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4289571940898895},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.42301011085510254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40715867280960083},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.17566797137260437}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7932139039039612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162805795669556},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5604586601257324},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.45844411849975586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4289571940898895},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.42301011085510254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40715867280960083},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.17566797137260437}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece59415.2024.10667100","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ccece59415.2024.10667100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2487898712","https://openalex.org/W4399871206"],"related_works":["https://openalex.org/W2046929026","https://openalex.org/W2779278343","https://openalex.org/W1996434451","https://openalex.org/W1569026615","https://openalex.org/W2791725133","https://openalex.org/W2352046731","https://openalex.org/W2338117633","https://openalex.org/W2112831187","https://openalex.org/W2122149485","https://openalex.org/W4232131108"],"abstract_inverted_index":{"Having":[0],"a":[1,37,96,120,140,160,186],"compact":[2],"and":[3,48,79,101,135],"efficient":[4],"ML":[5],"model":[6,164,193],"to":[7,35,60,66,146,191,213],"predict":[8],"the":[9,20,62,85,107,130,133,148,162,166,180,192,204,207,210,214],"outcome":[10],"of":[11,98,132,151,179,206],"mechanically":[12],"ventilated":[13],"patients":[14,100],"can":[15,23],"reduce":[16],"financial":[17],"burden":[18],"while":[19,153],"decision-making":[21],"processes":[22],"be":[24],"shortened":[25],"among":[26],"healthcare":[27],"professionals.":[28],"Three":[29],"machine":[30],"learning":[31],"algorithms":[32],"were":[33,82],"utilized":[34],"perform":[36],"prediction":[38],"task,":[39],"namely":[40],"eXtreme":[41],"Gradient":[42],"Boosting":[43],"(XGBOOST),":[44],"Random":[45],"Forest":[46],"(RF),":[47],"Support":[49],"Vector":[50],"Machine":[51],"(SVM).":[52],"SHapley":[53],"Additive":[54],"exPlanations":[55],"(SHAP)":[56],"method":[57,124,138],"was":[58,75,104,114,125,144,157],"adopted":[59,145],"find":[61],"most":[63],"important":[64],"features":[65,81],"discriminate":[67],"patient":[68],"outcomes.":[69],"The":[70,198],"dataset":[71],"for":[72,201],"this":[73,94,118],"study":[74,86],"publicly":[76],"available,":[77],"MIMIC-III,":[78],"relevant":[80],"retrieved":[83],"from":[84],"conducted":[87],"by":[88],"Nguyen":[89],"et":[90],"al":[91],"(2024).":[92],"In":[93],"study,":[95],"set":[97],"12,489":[99],"68":[102],"variables":[103],"included":[105],"in":[106,203],"dataset,":[108],"where":[109],"an":[110],"imbalanced":[111,154],"class":[112,141,155],"distribution":[113,156],"observed.":[115],"To":[116],"address":[117],"issue,":[119],"random":[121],"undersampling":[122],"(RUS)":[123],"applied,":[126],"thereby":[127],"significantly":[128],"reducing":[129,176],"size":[131],"training":[134],"test":[136],"sets.Another":[137],"-":[139],"weight":[142],"(CW)":[143],"maintain":[147],"same":[149],"number":[150],"observations":[152],"handled.":[158],"As":[159],"result,":[161],"XGB":[163,183,202],"yielded":[165,185],"highest":[167],"AUC":[168,188],"score":[169,189],"overall":[170],"across":[171],"both":[172],"situations.":[173],"Furthermore,":[174],"after":[175],"nearly":[177],"60%":[178],"total":[181],"features,":[182],"still":[184],"similar":[187],"compared":[190],"using":[194],"all":[195],"67":[196],"dimensions.":[197],"calibration":[199],"curve":[200],"case":[205],"CW":[208],"showed":[209],"closest":[211],"alignment":[212],"perfect":[215],"line.":[216]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
