{"id":"https://openalex.org/W3098918065","doi":"https://doi.org/10.1109/bigdata50022.2020.9378441","title":"Estimating Risk-Adjusted Hospital Performance","display_name":"Estimating Risk-Adjusted Hospital Performance","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3098918065","doi":"https://doi.org/10.1109/bigdata50022.2020.9378441","mag":"3098918065"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378441","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":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.05149","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075437913","display_name":"Eva van Weenen","orcid":"https://orcid.org/0000-0001-5500-2108"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Eva van Weenen","raw_affiliation_strings":["Dept. of Management, Technology and Economics, ETH Zurich, Switzerland","ETH Z\u00fcrich"],"affiliations":[{"raw_affiliation_string":"Dept. of Management, Technology and Economics, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081442873","display_name":"Stefan Feuerriegel","orcid":"https://orcid.org/0000-0001-7856-8729"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stefan Feuerriegel","raw_affiliation_strings":["Dept. of Management, Technology and Economics, ETH Zurich, Switzerland","ETH Z\u00fcrich"],"affiliations":[{"raw_affiliation_string":"Dept. of Management, Technology and Economics, ETH Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075437913"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":0.1997,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62458836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1709","last_page":"1719"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T10391","display_name":"Healthcare Policy and Management","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hierarchical-generalized-linear-model","display_name":"Hierarchical generalized linear model","score":0.6314908862113953},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5850738286972046},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5201564431190491},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4761238694190979},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4676961898803711},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4108015298843384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2586100697517395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17957323789596558},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.15907329320907593}],"concepts":[{"id":"https://openalex.org/C142967376","wikidata":"https://www.wikidata.org/wiki/Q5753099","display_name":"Hierarchical generalized linear model","level":3,"score":0.6314908862113953},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5850738286972046},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5201564431190491},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4761238694190979},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4676961898803711},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4108015298843384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2586100697517395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17957323789596558},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.15907329320907593},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378441","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"},{"id":"pmh:oai:arXiv.org:2011.05149","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.05149","pdf_url":"https://arxiv.org/pdf/2011.05149","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2011.05149","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.05149","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3098918065","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.05149","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.05149","pdf_url":"https://arxiv.org/pdf/2011.05149","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5400000214576721,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1540376033","https://openalex.org/W1614298861","https://openalex.org/W1969116741","https://openalex.org/W1976801265","https://openalex.org/W1996796871","https://openalex.org/W2025827186","https://openalex.org/W2044662913","https://openalex.org/W2086923543","https://openalex.org/W2113833641","https://openalex.org/W2114405576","https://openalex.org/W2134326009","https://openalex.org/W2160865775","https://openalex.org/W2306068843","https://openalex.org/W2332912320","https://openalex.org/W2462530867","https://openalex.org/W2468334934","https://openalex.org/W2511950764","https://openalex.org/W2514071032","https://openalex.org/W2560609797","https://openalex.org/W2578436806","https://openalex.org/W2582955413","https://openalex.org/W2588719610","https://openalex.org/W2742792846","https://openalex.org/W2753798143","https://openalex.org/W2754909382","https://openalex.org/W2781551130","https://openalex.org/W2790392145","https://openalex.org/W2796547658","https://openalex.org/W2804966641","https://openalex.org/W2809398771","https://openalex.org/W2897007327","https://openalex.org/W2906503640","https://openalex.org/W2923546398","https://openalex.org/W2944774301","https://openalex.org/W2963034797","https://openalex.org/W2963271116","https://openalex.org/W2964054038","https://openalex.org/W2964103735","https://openalex.org/W2964121744","https://openalex.org/W3003879029","https://openalex.org/W3004356227","https://openalex.org/W6631190155","https://openalex.org/W6636510571","https://openalex.org/W6718760407","https://openalex.org/W6726028665","https://openalex.org/W6726186668","https://openalex.org/W6732286402","https://openalex.org/W6732740298","https://openalex.org/W6744580074","https://openalex.org/W6763422710","https://openalex.org/W6773038641"],"related_works":["https://openalex.org/W3139495159","https://openalex.org/W1563184219","https://openalex.org/W3024135636","https://openalex.org/W1560587123","https://openalex.org/W2290607873","https://openalex.org/W2018959975","https://openalex.org/W2071263180","https://openalex.org/W2129020433","https://openalex.org/W3102990405","https://openalex.org/W1992846252","https://openalex.org/W2946374957","https://openalex.org/W2911697675","https://openalex.org/W2941229063","https://openalex.org/W2141861697","https://openalex.org/W3087375354","https://openalex.org/W2605829398","https://openalex.org/W2030665015","https://openalex.org/W3189258427","https://openalex.org/W3169601118","https://openalex.org/W2328997480"],"abstract_inverted_index":{"The":[0],"quality":[1],"of":[2,15,38,46,80,91,136,223,245],"healthcare":[3],"provided":[4,199],"by":[5,200,213],"hospitals":[6,49,197],"is":[7,32,61,154,160],"subject":[8],"to":[9,87,162,232],"considerable":[10],"variability.":[11],"Consequently,":[12],"accurate":[13],"measurements":[14],"hospital":[16,25,52,75,114,171,177,247],"performance":[17,31,53,115,178,248],"are":[18,103],"essential":[19],"for":[20,56,112,117],"various":[21],"decision-makers,":[22],"including":[23],"patients,":[24],"managers":[26],"and":[27,239],"health":[28,36,84,138,141,227],"insurers.":[29],"Hospital":[30],"assessed":[33],"via":[34],"the":[35,43,64,78,88,134,175,201,208,211,224,242],"outcomes":[37,228],"their":[39],"patients.":[40],"However,":[41],"as":[42,125,127,198],"risk":[44,82,101,131,164,237],"profiles":[45],"patients":[47],"between":[48,100,235],"vary,":[50],"measuring":[51,113,246],"requires":[54],"adjustment":[55],"patient":[57,81,118,130,191,236],"risk.":[58,119],"This":[59,120],"task":[60],"formalized":[62],"in":[63,226],"state-of-the-art":[65,212],"procedure":[66],"through":[67],"a":[68,109,148,157,167,220],"hierarchical":[69],"generalized":[70],"linear":[71,89,168],"model,":[72],"that":[73,153,174,219,241],"isolates":[74],"fixed-effects":[76],"from":[77],"effect":[79,135],"on":[83,140,186],"outcomes.":[85,142],"Due":[86],"nature":[90],"this":[92,105,144],"approach,":[93],"any":[94],"non-linear":[95,123,158,233],"relations":[96],"or":[97],"interaction":[98],"terms":[99],"variables":[102,238],"neglected.In":[104],"work,":[106],"we":[107,146],"propose":[108],"novel":[110],"method":[111,121],"adjusted":[116],"captures":[122],"relationships":[124,234],"well":[126],"interactions":[128],"among":[129],"variables,":[132],"specifically":[133],"co-occurring":[137],"conditions":[139],"For":[143],"purpose,":[145],"develop":[147],"tailored":[149],"neural":[150],"network":[151],"architecture":[152],"partially":[155],"interpretable:":[156],"part":[159],"used":[161],"encode":[163],"factors,":[165],"while":[166],"structure":[169],"models":[170],"fixed-effects,":[172],"such":[173],"risk-adjusted":[176],"can":[179,229],"be":[180,230,250],"estimated.":[181],"We":[182],"base":[183],"our":[184],"evaluation":[185],"more":[187],"than":[188],"13":[189],"million":[190],"admissions":[192],"across":[193],"almost":[194],"1,900":[195],"US":[196],"Nationwide":[202],"Readmissions":[203],"Database.":[204],"Our":[205],"model":[206],"improves":[207],"ROC-AUC":[209],"over":[210],"4.1":[214],"percent.":[215],"These":[216],"findings":[217],"demonstrate":[218],"large":[221],"portion":[222],"variance":[225],"attributed":[231],"implicate":[240],"current":[243],"approach":[244],"should":[249],"expanded.":[251]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}