{"id":"https://openalex.org/W7201861802","doi":"https://doi.org/10.1016/j.xjon.2026.102050","title":"Interpretable machine learning risk model to predict readmission after coronary artery bypass grafting","display_name":"Interpretable machine learning risk model to predict readmission after coronary artery bypass grafting","publication_year":2026,"publication_date":"2026-08-07","ids":{"openalex":"https://openalex.org/W7201861802","doi":"https://doi.org/10.1016/j.xjon.2026.102050","pmid":"https://pubmed.ncbi.nlm.nih.gov/42948447","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13711171"},"language":"en","primary_location":{"id":"doi:10.1016/j.xjon.2026.102050","doi":"https://doi.org/10.1016/j.xjon.2026.102050","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.xjon.2026.102050","pdf_url":null,"source":{"id":"https://openalex.org/S4210197350","display_name":"JTCVS Open","issn_l":"2666-2736","issn":["2666-2736"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JTCVS Open","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.xjon.2026.102050","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065790840","display_name":"Rameshbabu Manyam","orcid":"https://orcid.org/0000-0003-0602-9632","observed_orcids":["https://orcid.org/0000-0003-0602-9632"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rameshbabu Manyam","raw_affiliation_strings":["Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Ga"],"raw_orcid":"https://orcid.org/0000-0003-0602-9632","affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Ga","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134509688","display_name":"Conglin Bao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Conglin Bao","raw_affiliation_strings":["Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Ga"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Ga","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5146025586","display_name":"Yixuan He","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixuan He","raw_affiliation_strings":["Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Ga"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, Ga","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068336961","display_name":"S C Warner","orcid":"https://orcid.org/0009-0003-0887-9451","observed_orcids":["https://orcid.org/0009-0003-0887-9451"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheena Warner","raw_affiliation_strings":["Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Ga"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Ga","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612101","display_name":"Yanqing Zhang","orcid":"https://orcid.org/0000-0002-0456-2110","observed_orcids":["https://orcid.org/0000-0002-0456-2110"]},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanqing Zhang","raw_affiliation_strings":["Department of Computer Science, Georgia State University, Atlanta, Ga"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Georgia State University, Atlanta, Ga","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022854980","display_name":"William Brent Keeling","orcid":"https://orcid.org/0000-0003-3116-6495","observed_orcids":["https://orcid.org/0000-0003-3116-6495"]},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Brent Keeling","raw_affiliation_strings":["Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, Ga"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, Ga","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065790840"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":{"value":2431,"currency":"USD","value_usd":2431},"apc_paid":{"value":2431,"currency":"USD","value_usd":2431},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57044694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"102050","last_page":"102050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11055","display_name":"Cardiac and Coronary Surgery Techniques","score":0.6640999913215637,"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/T11055","display_name":"Cardiac and Coronary Surgery Techniques","score":0.6640999913215637,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.260699987411499,"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"}},{"id":"https://openalex.org/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.023900000378489494,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/coronary-artery-bypass-grafting","display_name":"coronary artery bypass grafting","score":0.996999979019165},{"id":"https://openalex.org/keywords/30-day-readmission","display_name":"30-day readmission","score":0.8700000047683716},{"id":"https://openalex.org/keywords/hospital-readmission-prediction","display_name":"hospital readmission prediction","score":0.7260000109672546},{"id":"https://openalex.org/keywords/preoperative-risk-factors","display_name":"preoperative risk factors","score":0.9670000076293945},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.9399999976158142},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.8600000143051147},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.7979999780654907},{"id":"https://openalex.org/keywords/recursive-feature-elimination","display_name":"recursive feature elimination","score":0.8230000138282776},{"id":"https://openalex.org/keywords/hematocrit","display_name":"hematocrit","score":0.7829999923706055},{"id":"https://openalex.org/keywords/meld-score","display_name":"MELD score","score":0.8109999895095825},{"id":"https://openalex.org/keywords/hemoglobin","display_name":"hemoglobin","score":0.6650000214576721},{"id":"https://openalex.org/keywords/creatinine","display_name":"creatinine","score":0.8489999771118164},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"body mass index","score":0.9190000295639038},{"id":"https://openalex.org/keywords/white-blood-cell-count","display_name":"white blood cell count","score":0.9769999980926514},{"id":"https://openalex.org/keywords/platelets","display_name":"platelets","score":0.6449999809265137},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"risk stratification","score":0.5429999828338623}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7178999781608582},{"id":"https://openalex.org/C3017915907","wikidata":"https://www.wikidata.org/wiki/Q186020","display_name":"Bypass grafting","level":3,"score":0.5824000239372253},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.45190000534057617},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.42890000343322754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C2775937945","wikidata":"https://www.wikidata.org/wiki/Q222958","display_name":"Grafting","level":3,"score":0.40459999442100525},{"id":"https://openalex.org/C2778213512","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Coronary artery disease","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C2776820930","wikidata":"https://www.wikidata.org/wiki/Q9655","display_name":"Artery","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C50440223","wikidata":"https://www.wikidata.org/wiki/Q1475848","display_name":"Risk factor","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.3384999930858612},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C2986432223","wikidata":"https://www.wikidata.org/wiki/Q5449740","display_name":"Risk model","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C11783203","wikidata":"https://www.wikidata.org/wiki/Q5478027","display_name":"Framingham Risk Score","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C2775901492","wikidata":"https://www.wikidata.org/wiki/Q186020","display_name":"Coronary artery bypass surgery","level":3,"score":0.2777999937534332},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.2728999853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2727000117301941}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.xjon.2026.102050","doi":"https://doi.org/10.1016/j.xjon.2026.102050","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.xjon.2026.102050","pdf_url":null,"source":{"id":"https://openalex.org/S4210197350","display_name":"JTCVS Open","issn_l":"2666-2736","issn":["2666-2736"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JTCVS Open","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13711171","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13711171/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13711171/pdf/main.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JTCVS Open","raw_type":"Text"},{"id":"pmid:42948447","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42948447","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JTCVS open","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:40a9cfe104c343e4b1f179e194d10da3","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/40a9cfe104c343e4b1f179e194d10da3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"JTCVS Open, Vol 33, Iss , Pp 102050- (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.xjon.2026.102050","doi":"https://doi.org/10.1016/j.xjon.2026.102050","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.xjon.2026.102050","pdf_url":null,"source":{"id":"https://openalex.org/S4210197350","display_name":"JTCVS Open","issn_l":"2666-2736","issn":["2666-2736"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","ki-jl-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JTCVS Open","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9940000176429749,"display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309381","display_name":"Emory University","ror":"https://ror.org/03czfpz43"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7201861802.pdf","grobid_xml":"https://content.openalex.org/works/W7201861802.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2543548379","https://openalex.org/W2776681490","https://openalex.org/W2792541774","https://openalex.org/W2905492457","https://openalex.org/W2985220169","https://openalex.org/W2986424528","https://openalex.org/W2999615587","https://openalex.org/W3030836817","https://openalex.org/W3036567476","https://openalex.org/W3043310174","https://openalex.org/W3090072901","https://openalex.org/W3156621950","https://openalex.org/W3170943096","https://openalex.org/W3204965937","https://openalex.org/W4200035054","https://openalex.org/W4308627565","https://openalex.org/W4376641620","https://openalex.org/W4391066809","https://openalex.org/W4403222846","https://openalex.org/W4410347112","https://openalex.org/W4414681579"],"related_works":["https://openalex.org/W7155504421","https://openalex.org/W2792541774","https://openalex.org/W7207531398","https://openalex.org/W2903237289","https://openalex.org/W2543548379","https://openalex.org/W7037268466","https://openalex.org/W3090072901","https://openalex.org/W4414681579","https://openalex.org/W4210446635","https://openalex.org/W3124296034"],"abstract_inverted_index":{"Objective:":[0],"Readmission":[1],"within":[2,81],"30":[3,82],"days":[4,83],"of":[5,56,84,112,130,139,202,218],"discharge":[6,85],"after":[7,48,86,118,225,263],"coronary":[8],"artery":[9],"bypass":[10],"grafting":[11],"(CABG)":[12],"continues":[13],"to":[14,36,44,107,115,126,133,211,245],"be":[15],"a":[16,54,69],"concern":[17],"for":[18,170,222],"patients":[19,57,141,257],"and":[20,39,65,104,144,184,213,249],"health":[21,72],"care":[22],"systems":[23],"in":[24,234],"cardiothoracic":[25],"care.":[26],"We":[27],"developed":[28],"an":[29,78,109,194,215],"interpretable":[30,208],"machine":[31],"learning":[32],"(ML)":[33],"risk":[34,42,113,131,166,220,251],"model":[35,134,160,189,230],"evaluate,":[37],"understand,":[38],"integrate":[40],"preoperative":[41,94,165,219],"factors":[43,114,132,221,252],"predict":[45,116],"30-day":[46,148,223,261],"readmission":[47,80,117,152,224,262],"CABG.":[49,88,119,226,264],"Methods:":[50],"The":[51,74,89,159,186,227],"study":[52,90,206],"analyzed":[53],"population":[55],"who":[58,258],"had":[59],"undergone":[60],"isolated":[61,87],"CABG":[62],"between":[63],"2014":[64],"2023,":[66],"drawn":[67],"from":[68],"multihospital":[70],"academic":[71],"system.":[73],"primary":[75],"outcome":[76],"was":[77,124,154],"index":[79],"evaluated":[91],"34":[92],"patient-specific":[93],"variables":[95],"using":[96],"the":[97,128,145,162,197,242],"recursive":[98],"feature":[99],"elimination":[100],"with":[101,193],"cross-validation":[102],"method":[103,244],"ML":[105,209],"algorithms":[106],"evaluate":[108],"optimal":[110,216],"set":[111,217],"SHapley":[120],"Additive":[121],"exPlanations":[122],"framework":[123],"used":[125,207],"understand":[127],"contribution":[129],"prediction.":[135],"Results:":[136],"A":[137],"total":[138],"8999":[140],"were":[142],"identified,":[143],"overall":[146],"observed":[147],"all-cause":[149],"same":[150],"system":[151],"rate":[153],"9.56%,":[155],"n":[156],"=":[157],"860.":[158],"produced":[161],"top":[163],"7":[164],"factors:":[167],"hematocrit,":[168],"Model":[169],"End-Stage":[171],"Liver":[172],"Disease":[173],"score,":[174],"hemoglobin,":[175],"creatinine,":[176],"body":[177],"mass":[178],"index,":[179],"white":[180],"blood":[181],"cell":[182],"count,":[183],"platelets.":[185],"random":[187,228],"forest":[188,229],"demonstrated":[190,231],"good":[191,232],"performance":[192],"area":[195],"under":[196],"receiver":[198],"operating":[199],"characteristics":[200],"curve":[201],"0.74.":[203],"Conclusions:":[204],"This":[205],"techniques":[210],"identify":[212,256],"interpret":[214],"discrimination":[233],"identifying":[235],"at-risk":[236],"patients.":[237],"Individual":[238],"hospitals":[239],"can":[240],"apply":[241],"proposed":[243],"their":[246],"large":[247],"datasets":[248],"assess":[250],"that":[253],"may":[254],"help":[255],"would":[259],"experience":[260]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-08T00:00:00"}
