{"id":"https://openalex.org/W2525571364","doi":"https://doi.org/10.1007/978-3-319-47364-2_1","title":"Predicting 30-Day Emergency Readmission Risk","display_name":"Predicting 30-Day Emergency Readmission Risk","publication_year":2016,"publication_date":"2016-09-30","ids":{"openalex":"https://openalex.org/W2525571364","doi":"https://doi.org/10.1007/978-3-319-47364-2_1","mag":"2525571364"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-47364-2_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-47364-2_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-47364-2_1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047237391","display_name":"Arkaitz Artetxe","orcid":"https://orcid.org/0000-0003-0594-7941"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]},{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Arkaitz Artetxe","raw_affiliation_strings":["Computation Intelligence Group, Basque University (UPV/EHU), P. Manuel Lardizabal 1, 20018, San Sebastian, Spain","Vicomtech-IK4 Research Centre, Mikeletegi Pasealekua 57, 20009, San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"Computation Intelligence Group, Basque University (UPV/EHU), P. Manuel Lardizabal 1, 20018, San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Vicomtech-IK4 Research Centre, Mikeletegi Pasealekua 57, 20009, San Sebastian, Spain","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052326707","display_name":"Andoni Beristain","orcid":"https://orcid.org/0000-0002-5452-2141"},"institutions":[{"id":"https://openalex.org/I4210092551","display_name":"Vicomtech","ror":"https://ror.org/0023sah13","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210092551"]},{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andoni Beristain","raw_affiliation_strings":["Computation Intelligence Group, Basque University (UPV/EHU), P. Manuel Lardizabal 1, 20018, San Sebastian, Spain","Vicomtech-IK4 Research Centre, Mikeletegi Pasealekua 57, 20009, San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"Computation Intelligence Group, Basque University (UPV/EHU), P. Manuel Lardizabal 1, 20018, San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Vicomtech-IK4 Research Centre, Mikeletegi Pasealekua 57, 20009, San Sebastian, Spain","institution_ids":["https://openalex.org/I4210092551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106225114","display_name":"Manuel Gra\u00f1a","orcid":"https://orcid.org/0000-0001-7373-4097"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel Gra\u00f1a","raw_affiliation_strings":["Computation Intelligence Group, Basque University (UPV/EHU), P. Manuel Lardizabal 1, 20018, San Sebastian, Spain","Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"Computation Intelligence Group, Basque University (UPV/EHU), P. Manuel Lardizabal 1, 20018, San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]},{"raw_affiliation_string":"Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075886896","display_name":"Ariadna Besga","orcid":"https://orcid.org/0000-0001-7482-1969"},"institutions":[{"id":"https://openalex.org/I4210108873","display_name":"Hospital Universitario Araba","ror":"https://ror.org/01zc1f144","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210108873","https://openalex.org/I4210125364"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Ariadna Besga","raw_affiliation_strings":["Department of Internal Medicine, Hospital Universitario de Alava, Vitoria, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine, Hospital Universitario de Alava, Vitoria, Spain","institution_ids":["https://openalex.org/I4210108873"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047237391"],"corresponding_institution_ids":["https://openalex.org/I169108374","https://openalex.org/I4210092551"],"apc_list":null,"apc_paid":null,"fwci":1.6045,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84777173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9758999943733215,"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/feature-selection","display_name":"Feature selection","score":0.7186782360076904},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6256438493728638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.55743807554245},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.514975368976593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4959793984889984},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.48497653007507324},{"id":"https://openalex.org/keywords/copd","display_name":"COPD","score":0.43444350361824036},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4303675889968872},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42042088508605957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39661967754364014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3855646550655365},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.33436739444732666},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10232168436050415},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08390909433364868}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7186782360076904},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6256438493728638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55743807554245},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.514975368976593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4959793984889984},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.48497653007507324},{"id":"https://openalex.org/C2776780178","wikidata":"https://www.wikidata.org/wiki/Q199804","display_name":"COPD","level":2,"score":0.43444350361824036},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4303675889968872},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42042088508605957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39661967754364014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3855646550655365},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.33436739444732666},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10232168436050415},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08390909433364868},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-47364-2_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-47364-2_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-47364-2_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-47364-2_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1480887189","https://openalex.org/W1593707748","https://openalex.org/W1930624869","https://openalex.org/W1990728631","https://openalex.org/W2025353918","https://openalex.org/W2063553068","https://openalex.org/W2086923543","https://openalex.org/W2113665069","https://openalex.org/W2119821739","https://openalex.org/W2129997990","https://openalex.org/W2133990480","https://openalex.org/W2134326009","https://openalex.org/W2148143831","https://openalex.org/W2164330572","https://openalex.org/W2210926179","https://openalex.org/W2398706230","https://openalex.org/W4239510810"],"related_works":["https://openalex.org/W2052515325","https://openalex.org/W2050948537","https://openalex.org/W3146691973","https://openalex.org/W3142286882","https://openalex.org/W4245372082","https://openalex.org/W3215586121","https://openalex.org/W2352041579","https://openalex.org/W2252383104","https://openalex.org/W2138381686","https://openalex.org/W2018632273"],"abstract_inverted_index":{"Objective:":[0],"Predicting":[1],"Emergency":[2],"Department":[3],"(ED)":[4],"readmissions":[5],"is":[6,26,45,70,127,180,194],"of":[7,34,85,164,171,187],"great":[8],"importance":[9,81],"since":[10],"it":[11],"helps":[12],"identifying":[13],"patients":[14],"requiring":[15],"further":[16],"post-discharge":[17],"attention":[18],"as":[19,21,196],"well":[20],"reducing":[22],"healthcare":[23],"costs.":[24],"It":[25],"becoming":[27],"standard":[28],"procedure":[29],"to":[30,51,148],"evaluate":[31],"the":[32,52,83,118,124,154,162,185,188],"risk":[33],"ED":[35],"readmission":[36],"within":[37],"30":[38],"days":[39],"after":[40],"discharge.":[41],"Methods.":[42],"Our":[43],"dataset":[44,120,155],"stratified":[46],"into":[47],"four":[48],"groups":[49],"according":[50],"Kaiser":[53],"Permanente":[54],"Risk":[55],"Stratification":[56],"Model.":[57],"We":[58,92],"deal":[59],"with":[60],"imbalanced":[61],"data":[62],"using":[63,131],"different":[64],"approaches":[65],"for":[66,96,175,184],"resampling.":[67],"Feature":[68],"selection":[69],"also":[71],"addressed":[72],"by":[73,82,129],"a":[74,94,172,191],"wrapper":[75],"method":[76],"which":[77,177],"evaluates":[78],"feature":[79],"set":[80],"performance":[84],"various":[86],"classifiers":[87],"trained":[88,93],"on":[89],"them.":[90],"Results.":[91],"model":[95],"each":[97],"scenario":[98],"and":[99,113,140],"subpopulation,":[100],"namely":[101],"case":[102],"management":[103],"(CM),":[104],"heart":[105],"failure":[106],"(HF),":[107],"chronic":[108],"obstructive":[109],"pulmonary":[110],"disease":[111],"(COPD)":[112],"diabetes":[114],"mellitus":[115],"(DM).":[116],"Using":[117],"full":[119],"we":[121],"found":[122],"that":[123],"best":[125],"sensitivity":[126,151],"achieved":[128],"SVM":[130],"over-sampling":[132],"methods":[133],"(40.62":[134],"%":[135,138],"sensitivity,":[136],"78.71":[137],"specificity":[139],"71.94":[141],"accuracy).":[142],"Conclusions.":[143],"Imbalance":[144],"correction":[145],"techniques":[146],"allow":[147],"achieve":[149],"better":[150,165],"performance,":[152],"however":[153],"has":[156],"not":[157],"enough":[158],"positive":[159],"cases,":[160],"hindering":[161],"achievement":[163],"prediction":[166],"ability.":[167],"The":[168],"arbitrary":[169],"definition":[170],"threshold-based":[173],"discretization":[174],"measurements":[176],"are":[178],"inherently":[179],"an":[181],"important":[182],"drawback":[183],"exploitation":[186],"data,":[189],"therefore":[190],"regression":[192],"approach":[193],"considered":[195],"future":[197],"work.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
