{"id":"https://openalex.org/W4390970378","doi":"https://doi.org/10.1109/bibm58861.2023.10385421","title":"Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery","display_name":"Machine Learning Models for Prediction of Joint Infections Following Hip Replacement Surgery","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390970378","doi":"https://doi.org/10.1109/bibm58861.2023.10385421"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385421","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5072285339","display_name":"Hilal Maradit Kremers","orcid":"https://orcid.org/0000-0003-3882-602X"},"institutions":[{"id":"https://openalex.org/I4210146710","display_name":"Mayo Clinic in Florida","ror":"https://ror.org/03zzw1w08","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210146710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hilal Maradit Kremers","raw_affiliation_strings":["Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210146710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063986559","display_name":"Sunghwan Sohn","orcid":"https://orcid.org/0000-0001-8256-2602"},"institutions":[{"id":"https://openalex.org/I4210146710","display_name":"Mayo Clinic in Florida","ror":"https://ror.org/03zzw1w08","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210146710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sunghwan Sohn","raw_affiliation_strings":["Department of AI & Informatics Research, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of AI & Informatics Research, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210146710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055499310","display_name":"Walter K. Kremers","orcid":"https://orcid.org/0000-0001-5714-3473"},"institutions":[{"id":"https://openalex.org/I4210146710","display_name":"Mayo Clinic in Florida","ror":"https://ror.org/03zzw1w08","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210146710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walter K. Kremers","raw_affiliation_strings":["Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210146710"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":69},"biblio":{"volume":null,"issue":null,"first_page":"3053","last_page":"3058"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11293","display_name":"Diagnosis and Treatment of Prosthetic Joint Infections","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11293","display_name":"Diagnosis and Treatment of Prosthetic Joint Infections","score":0.9991,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10512","display_name":"Hip Arthroplasty Techniques and Materials","score":0.9973,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10562","display_name":"Projections and Outcomes of Arthroplasty Surgery in the US","score":0.9819,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/lasso","display_name":"Lasso (programming language)","score":0.6806896},{"id":"https://openalex.org/keywords/periprosthetic-joint-infection","display_name":"Periprosthetic Joint Infection","score":0.627876},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.6043909},{"id":"https://openalex.org/keywords/prosthetic-joint-infections","display_name":"Prosthetic Joint Infections","score":0.576322},{"id":"https://openalex.org/keywords/total-hip-replacement","display_name":"Total Hip Replacement","score":0.517464},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5018265},{"id":"https://openalex.org/keywords/total-joint-replacement","display_name":"Total joint replacement","score":0.47510633},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.43721777}],"concepts":[{"id":"https://openalex.org/C2778120723","wikidata":"https://www.wikidata.org/wiki/Q16872681","display_name":"Periprosthetic","level":3,"score":0.84575975},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6806896},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.6043909},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5018265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49840808},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.48394182},{"id":"https://openalex.org/C2992150780","wikidata":"https://www.wikidata.org/wiki/Q1863402","display_name":"Total joint replacement","level":2,"score":0.47510633},{"id":"https://openalex.org/C2776348710","wikidata":"https://www.wikidata.org/wiki/Q32333487","display_name":"Hip replacement","level":3,"score":0.4656454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46003303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45021138},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.43721777},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42050433},{"id":"https://openalex.org/C2778336525","wikidata":"https://www.wikidata.org/wiki/Q708178","display_name":"Arthroplasty","level":2,"score":0.38426188},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.24184665},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18162087},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm58861.2023.10385421","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.45,"id":"https://metadata.un.org/sdg/3"}],"grants":[{"funder":"https://openalex.org/F4320337362","funder_display_name":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":38,"referenced_works":["https://openalex.org/W1809196957","https://openalex.org/W2023394860","https://openalex.org/W2026273074","https://openalex.org/W2031867490","https://openalex.org/W2062568470","https://openalex.org/W2069017294","https://openalex.org/W2078271269","https://openalex.org/W2079575346","https://openalex.org/W2149199519","https://openalex.org/W2210337079","https://openalex.org/W2285358633","https://openalex.org/W2294472069","https://openalex.org/W2397616787","https://openalex.org/W2487770199","https://openalex.org/W2592094199","https://openalex.org/W2610936380","https://openalex.org/W2793489879","https://openalex.org/W2888109941","https://openalex.org/W2902702783","https://openalex.org/W2909551888","https://openalex.org/W2913997948","https://openalex.org/W2939485298","https://openalex.org/W2949495270","https://openalex.org/W2963499961","https://openalex.org/W2986964657","https://openalex.org/W3011403448","https://openalex.org/W3098949126","https://openalex.org/W3106532700","https://openalex.org/W3110563958","https://openalex.org/W3114878753","https://openalex.org/W3199977434","https://openalex.org/W3200403318","https://openalex.org/W4200226054","https://openalex.org/W4205770973","https://openalex.org/W4225905255","https://openalex.org/W4229873072","https://openalex.org/W4283171133","https://openalex.org/W4292939426"],"related_works":["https://openalex.org/W4399653172","https://openalex.org/W4251885633","https://openalex.org/W4240237542","https://openalex.org/W4236084813","https://openalex.org/W3215090400","https://openalex.org/W3111239795","https://openalex.org/W3013619129","https://openalex.org/W2784474394","https://openalex.org/W2142210098","https://openalex.org/W2115095217"],"abstract_inverted_index":{"Periprosthetic":[0],"joint":[1,143],"infection":[2],"(PJI)":[3],"is":[4],"a":[5,36,57,64,122],"rare":[6],"but":[7],"serious":[8],"complication":[9],"following":[10,80],"total":[11,65],"hip":[12,68,146],"replacement":[13,69,147],"surgery.":[14,81],"Personalized":[15],"risk":[16,19,43],"prediction":[17,44,141],"and":[18,27,95,98,133],"factor":[20],"management":[21],"can":[22],"allow":[23],"effective":[24],"presurgical":[25],"interventions":[26],"improved":[28],"surgical":[29],"outcomes.":[30],"In":[31],"this":[32],"study,":[33],"we":[34],"implemented":[35,83],"data":[37,49,132],"driven":[38],"approach":[39],"to":[40,102],"develop":[41],"PJI":[42,74],"models":[45,86,120,136],"using":[46,112],"large":[47,58,129],"scale":[48,130],"from":[50],"the":[51,77,113,118],"electronic":[52],"health":[53],"records":[54],"(EHR)":[55],"at":[56],"tertiary":[59],"care":[60],"hospital.":[61],"Dataset":[62],"comprised":[63],"of":[66,105,124,142],"22,350":[67],"surgeries":[70],"with":[71,121],"283":[72],"(1.3%)":[73],"events":[75],"within":[76],"1-year":[78],"window":[79],"We":[82],"four":[84],"different":[85],"(classic":[87],"lasso,":[88,90],"relaxed":[89,109],"gradient":[91],"boosting":[92],"model":[93,106,111,115],"(GBM)":[94],"neural":[96],"networks)":[97],"used":[99],"10-fold":[100],"cross-validation":[101],"calculate":[103],"measures":[104],"performance.":[107],"The":[108],"lasso":[110],"Cox":[114],"structure":[116],"outperformed":[117],"other":[119],"concordance":[123],"0.793.":[125],"Our":[126],"analysis":[127],"indicates":[128],"EHR":[131],"machine":[134],"learning":[135],"provide":[137],"increased":[138],"accuracy":[139],"in":[140,145],"infections":[144],"patients.":[148]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4390970378","counts_by_year":[],"updated_date":"2024-11-22T19:14:13.809268","created_date":"2024-01-19"}