{"id":"https://openalex.org/W4401160955","doi":"https://doi.org/10.1145/3686138.3686146","title":"Predicting Surgical Outcomes Using Wearables","display_name":"Predicting Surgical Outcomes Using Wearables","publication_year":2024,"publication_date":"2024-07-30","ids":{"openalex":"https://openalex.org/W4401160955","doi":"https://doi.org/10.1145/3686138.3686146"},"language":"en","primary_location":{"id":"doi:10.1145/3686138.3686146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686138.3686146","pdf_url":null,"source":{"id":"https://openalex.org/S4210227886","display_name":"GetMobile Mobile Computing and Communications","issn_l":"2375-0529","issn":["2375-0529","2375-0537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GetMobile: Mobile Computing and Communications","raw_type":"journal-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/A5100435143","display_name":"Jingwen Zhang","orcid":"https://orcid.org/0000-0002-8092-1488"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jingwen Zhang","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039145854","display_name":"Dingwen Li","orcid":"https://orcid.org/0000-0002-9231-7317"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dingwen Li","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086911838","display_name":"Ruixuan Dai","orcid":"https://orcid.org/0000-0003-2151-4177"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixuan Dai","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055023836","display_name":"Heidy Cos","orcid":"https://orcid.org/0000-0001-7721-0848"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heidy Cos","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007347025","display_name":"Gregory A. Williams","orcid":"https://orcid.org/0000-0003-3196-2766"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory A. Williams","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063651039","display_name":"Lacey Raper","orcid":"https://orcid.org/0000-0001-8948-6374"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lacey Raper","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076989398","display_name":"Chet W. Hammill","orcid":"https://orcid.org/0000-0001-9749-0824"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chet W. Hammill","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034805517","display_name":"Chenyang Lu","orcid":"https://orcid.org/0000-0003-1709-6769"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyang Lu","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100435143"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51236599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"28","issue":"2","first_page":"17","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9768000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.8580799102783203},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7391384243965149},{"id":"https://openalex.org/keywords/calculator","display_name":"Calculator","score":0.7183148264884949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474598050117493},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.48628056049346924},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.47182756662368774},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4446573257446289},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3889475464820862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34895753860473633},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25634878873825073},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.11810493469238281},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10070571303367615},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.08005529642105103}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.8580799102783203},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7391384243965149},{"id":"https://openalex.org/C2776836400","wikidata":"https://www.wikidata.org/wiki/Q31087","display_name":"Calculator","level":2,"score":0.7183148264884949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474598050117493},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.48628056049346924},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.47182756662368774},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4446573257446289},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3889475464820862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34895753860473633},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25634878873825073},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.11810493469238281},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10070571303367615},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.08005529642105103},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3686138.3686146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3686138.3686146","pdf_url":null,"source":{"id":"https://openalex.org/S4210227886","display_name":"GetMobile Mobile Computing and Communications","issn_l":"2375-0529","issn":["2375-0529","2375-0537"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GetMobile: Mobile Computing and Communications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1993926693","https://openalex.org/W2025727209","https://openalex.org/W2048301249","https://openalex.org/W2071602085","https://openalex.org/W2151223736","https://openalex.org/W2791128136","https://openalex.org/W2810131621","https://openalex.org/W2883411829","https://openalex.org/W2929576458","https://openalex.org/W2972890723","https://openalex.org/W3017606040","https://openalex.org/W3113624292","https://openalex.org/W3136031576","https://openalex.org/W4248949446"],"related_works":["https://openalex.org/W1490606327","https://openalex.org/W2475866497","https://openalex.org/W2561023381","https://openalex.org/W2797548350","https://openalex.org/W2362078318","https://openalex.org/W220219137","https://openalex.org/W4231071852","https://openalex.org/W2316752057","https://openalex.org/W2348714797","https://openalex.org/W2594519706"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1],"of":[2,89],"readmission":[3],"and":[4,26,49],"severe":[5],"complication":[6],"risks":[7],"during":[8],"the":[9,24,116,119,132,135,144],"pre-operative":[10,75],"stage":[11],"is":[12,92],"crucial":[13],"for":[14,118],"clinical":[15,22,112,124,150],"decision-making.":[16],"In":[17,63,122],"addition":[18],"to":[19,70,78,99,114,143],"traditional":[20],"static":[21,111],"data,":[23,105],"activity":[25],"physiological":[27],"data":[28,43,77],"collected":[29],"by":[30,140],"commercial":[31],"wearable":[32,76,104],"devices":[33],"such":[34],"as":[35],"Fitbit":[36],"wristbands":[37],"provide":[38],"valuable":[39],"complementary":[40],"information.":[41],"However,":[42],"from":[44,58,103],"wearables":[45],"are":[46,107],"often":[47],"incomplete":[48],"noisy,":[50],"presenting":[51],"challenges":[52],"in":[53,82,149],"extracting":[54],"clinically":[55],"meaningful":[56],"features":[57,102],"fine-grained":[59],"time":[60],"series":[61],"data.":[62],"this":[64,90],"paper,":[65],"we":[66],"propose":[67],"a":[68,93,123],"pipeline":[69,91],"develop":[71],"predictive":[72,120],"models":[73],"using":[74],"predict":[79],"surgical":[80],"outcomes":[81],"patients":[83],"undergoing":[84],"pancreatic":[85],"surgeries.":[86],"The":[87],"core":[88],"multi-level":[94],"feature":[95],"engineering":[96],"framework":[97],"designed":[98],"extract":[100],"high-level":[101],"which":[106],"then":[108],"combined":[109],"with":[110],"characteristics":[113],"form":[115],"input":[117],"model.":[121],"study":[125],"involving":[126],"61":[127],"patients,":[128],"our":[129],"approach":[130],"improved":[131],"Area":[133],"Under":[134],"Receiver":[136],"Operating":[137],"Characteristic":[138],"(AUROC)":[139],"44%":[141],"compared":[142],"existing":[145],"risk":[146],"calculator":[147],"employed":[148],"practice.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}