{"id":"https://openalex.org/W4297679101","doi":"https://doi.org/10.1145/3549737.3549795","title":"MACHINE LEARNING TO DEVELOP A MODEL THAT PREDICTS EARLY IMPENDING SEPSIS IN NEUROSURGICAL PATIENTS","display_name":"MACHINE LEARNING TO DEVELOP A MODEL THAT PREDICTS EARLY IMPENDING SEPSIS IN NEUROSURGICAL PATIENTS","publication_year":2022,"publication_date":"2022-09-07","ids":{"openalex":"https://openalex.org/W4297679101","doi":"https://doi.org/10.1145/3549737.3549795"},"language":"en","primary_location":{"id":"doi:10.1145/3549737.3549795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3549737.3549795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-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/A5000619574","display_name":"Evgenios Vlachos","orcid":"https://orcid.org/0000-0001-8235-0423"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Evgenios Vlachos","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Thessaly, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086531495","display_name":"Aris Salapatas Gkinis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138654","display_name":"University Hospital of Heraklion","ror":"https://ror.org/0312m2266","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210138654"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Aris Salapatas Gkinis","raw_affiliation_strings":["University Hospital of Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"University Hospital of Heraklion, Greece","institution_ids":["https://openalex.org/I4210138654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039585553","display_name":"Vasileios Papastergiou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138654","display_name":"University Hospital of Heraklion","ror":"https://ror.org/0312m2266","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210138654"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vasileios Papastergiou","raw_affiliation_strings":["University Hospital of Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"University Hospital of Heraklion, Greece","institution_ids":["https://openalex.org/I4210138654"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032855829","display_name":"Christos Tsitsipanis","orcid":"https://orcid.org/0000-0002-4748-6496"},"institutions":[{"id":"https://openalex.org/I4210138654","display_name":"University Hospital of Heraklion","ror":"https://ror.org/0312m2266","country_code":"GR","type":"healthcare","lineage":["https://openalex.org/I4210138654"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Tsitsipanis","raw_affiliation_strings":["University Hospital of Heraklion, Greece"],"affiliations":[{"raw_affiliation_string":"University Hospital of Heraklion, Greece","institution_ids":["https://openalex.org/I4210138654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048495248","display_name":"George Giannakopoulos","orcid":"https://orcid.org/0000-0003-2459-589X"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]},{"id":"https://openalex.org/I4210106670","display_name":"SciFY","ror":"https://ror.org/01pb0m710","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210106670"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Giannakopoulos","raw_affiliation_strings":["SKEL Lab, NCSR Demokritos, Greece and SciFY PNPC, Greece"],"affiliations":[{"raw_affiliation_string":"SKEL Lab, NCSR Demokritos, Greece and SciFY PNPC, Greece","institution_ids":["https://openalex.org/I203474044","https://openalex.org/I4210106670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000619574"],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":0.1559,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51949659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.9962999820709229,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sepsis","display_name":"Sepsis","score":0.612697422504425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5516277551651001},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.40896719694137573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36205172538757324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3309621810913086},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.329915851354599},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.23671281337738037}],"concepts":[{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.612697422504425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5516277551651001},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.40896719694137573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36205172538757324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3309621810913086},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.329915851354599},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23671281337738037}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3549737.3549795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3549737.3549795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/80644","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/80644","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ACM International Conference Proceeding Series","raw_type":"conferenceItem"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2019350094","https://openalex.org/W2119910794","https://openalex.org/W2280404143","https://openalex.org/W2346435289","https://openalex.org/W2372800617","https://openalex.org/W2523834880","https://openalex.org/W2524620548","https://openalex.org/W2570037867","https://openalex.org/W2607507174","https://openalex.org/W2748885884","https://openalex.org/W2768083064","https://openalex.org/W2792328488","https://openalex.org/W2800030655","https://openalex.org/W2899355182","https://openalex.org/W2966114277","https://openalex.org/W2980131624","https://openalex.org/W2999513477","https://openalex.org/W3007126328","https://openalex.org/W3008421095","https://openalex.org/W3087473460","https://openalex.org/W3088162569","https://openalex.org/W3109682927","https://openalex.org/W3170657538","https://openalex.org/W3187897714","https://openalex.org/W4300931770"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4400410424","https://openalex.org/W4386462264","https://openalex.org/W4400177841","https://openalex.org/W4364306694"],"abstract_inverted_index":{"Sepsis":[0],"is":[1,24,52],"currently":[2],"defined":[3],"as":[4,39,113],"a":[5,11,25,85,114,167],"\u201clife-threatening":[6],"organ":[7],"dysfunction":[8],"caused":[9],"by":[10],"dysregulated":[12],"host":[13],"response":[14],"to":[15,53,62,80,95,101,121,130,136],"infection\u201d.":[16],"The":[17,46],"early":[18],"detection":[19],"and":[20,37,56,106],"prediction":[21,112,132],"of":[22,35,49,110,125,141],"sepsis":[23],"challenging":[26],"task,":[27],"with":[28,151,166],"significant":[29],"potential":[30],"gains":[31],"regarding":[32],"the":[33,78,97,108,111,123,131],"lives":[34],"patient":[36,82],"\u2014":[38,41],"such":[40],"should":[42],"be":[43],"researched":[44],"comprehensively.":[45],"main":[47],"goal":[48],"this":[50,142],"study":[51],"take":[54],"anonymised":[55],"appropriately":[57,83],"processed":[58],"data":[59],"in":[60,84,93,175,178],"order":[61,94],"detect":[63],"infections":[64],"which":[65],"imply":[66],"future":[67],"probability":[68],"for":[69],"sepsis.":[70],"In":[71],"that":[72],"way,":[73],"medical":[74],"practitioners":[75],"may":[76],"have":[77],"opportunity":[79],"treat":[81],"proactive":[86],"manner.":[87],"Feature":[88],"selection":[89],"techniques":[90],"were":[91],"applied":[92],"define":[96],"most":[98],"important":[99],"features":[100,129,165,171],"feed":[102],"machine":[103,153],"learning":[104,154],"models":[105],"maximize":[107],"performance":[109],"binary":[115],"classification":[116,149],"problem.":[117],"We":[118],"also":[119,157],"aim":[120],"highlight":[122],"relation":[124],"specific":[126],"clinical":[127],"input":[128],"outcome,":[133],"possibly":[134],"contributing":[135],"an":[137],"improved,":[138],"data-driven":[139],"understanding":[140],"multi-factorial":[143],"dysfunction.":[144],"Early":[145],"findings":[146],"indicating":[147],"promising":[148],"performance,":[150],"different":[152,173,176],"algorithms,":[155],"but":[156],"based":[158],"on":[159],"appropriate":[160],"feature":[161],"engineering,":[162],"building":[163],"upon":[164],"time-sensitive":[168],"aspect":[169],"(i.e.":[170],"representing":[172],"samplings":[174],"positions":[177],"time).":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}