{"id":"https://openalex.org/W2019350094","doi":"https://doi.org/10.1109/iccabs.2012.6182636","title":"A Bayesian network for early diagnosis of sepsis patients: a basis for a clinical decision support system","display_name":"A Bayesian network for early diagnosis of sepsis patients: a basis for a clinical decision support system","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2019350094","doi":"https://doi.org/10.1109/iccabs.2012.6182636","mag":"2019350094"},"language":"en","primary_location":{"id":"doi:10.1109/iccabs.2012.6182636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccabs.2012.6182636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS)","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/A5078722503","display_name":"Eren Gultepe","orcid":null},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Eren Gultepe","raw_affiliation_strings":["Department of Biomedical Engineering, University of California, Davis, Davis, USA","Dept. of Biomedical Engineering, University of California - Davis, United States of America#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, University of California, Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Dept. of Biomedical Engineering, University of California - Davis, United States of America#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050555582","display_name":"Hien Nguyen","orcid":"https://orcid.org/0000-0002-7237-4752"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hien Nguyen","raw_affiliation_strings":["Department of Internal Medicine, University of California, Davis, Davis, USA","Internal Medicine, University of California - Davis, United States of America#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine, University of California, Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Internal Medicine, University of California - Davis, United States of America#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055706380","display_name":"Timothy E. Albertson","orcid":"https://orcid.org/0000-0001-5724-3300"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy Albertson","raw_affiliation_strings":["Department of Internal Medicine, University of California, Davis, Davis, USA","Internal Medicine, University of California - Davis, United States of America#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Internal Medicine, University of California, Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Internal Medicine, University of California - Davis, United States of America#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004351739","display_name":"Ilias Tagkopoulos","orcid":"https://orcid.org/0000-0003-1104-7616"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilias Tagkopoulos","raw_affiliation_strings":["Department of Computer Science, University of California, Davis, Davis, USA","Computer Science, University of California - Davis, United States of America#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Davis, Davis, USA","institution_ids":["https://openalex.org/I84218800"]},{"raw_affiliation_string":"Computer Science, University of California - Davis, United States of America#TAB#","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078722503"],"corresponding_institution_ids":["https://openalex.org/I84218800"],"apc_list":null,"apc_paid":null,"fwci":0.2012,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.58299694,"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":"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":0.9993000030517578,"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":0.9993000030517578,"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":0.965399980545044,"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/sepsis","display_name":"Sepsis","score":0.8899736404418945},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6766000390052795},{"id":"https://openalex.org/keywords/systemic-inflammatory-response-syndrome","display_name":"Systemic inflammatory response syndrome","score":0.5616381764411926},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4623467028141022},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4335595965385437},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4312566816806793},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.38591063022613525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34001272916793823},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.31050509214401245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27600833773612976}],"concepts":[{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.8899736404418945},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6766000390052795},{"id":"https://openalex.org/C2781090800","wikidata":"https://www.wikidata.org/wiki/Q776030","display_name":"Systemic inflammatory response syndrome","level":3,"score":0.5616381764411926},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4623467028141022},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4335595965385437},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4312566816806793},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.38591063022613525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34001272916793823},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.31050509214401245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27600833773612976}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccabs.2012.6182636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccabs.2012.6182636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE 2nd International Conference on Computational Advances in Bio and medical Sciences (ICCABS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1489605872","https://openalex.org/W1626295059","https://openalex.org/W1991864206","https://openalex.org/W2001380325","https://openalex.org/W2049927822","https://openalex.org/W2055571966","https://openalex.org/W2060970919","https://openalex.org/W2061429069","https://openalex.org/W2087203965","https://openalex.org/W2105130030","https://openalex.org/W2118858814","https://openalex.org/W2129681898","https://openalex.org/W2158623850","https://openalex.org/W2160691650","https://openalex.org/W3023757607","https://openalex.org/W6629373595","https://openalex.org/W6636664571","https://openalex.org/W6675580252"],"related_works":["https://openalex.org/W1581686323","https://openalex.org/W2963601472","https://openalex.org/W2408782992","https://openalex.org/W3030014144","https://openalex.org/W4383099252","https://openalex.org/W2034930488","https://openalex.org/W2105533052","https://openalex.org/W2594515381","https://openalex.org/W2441087844","https://openalex.org/W2794721326"],"abstract_inverted_index":{"Sepsis":[0],"is":[1,20],"a":[2,55,73,102,137],"severe":[3,29],"medical":[4,42],"condition":[5],"caused":[6],"by":[7],"an":[8,13],"inordinate":[9],"immune":[10],"response":[11,86],"to":[12,22,58],"infection.":[14],"Early":[15],"detection":[16],"of":[17,31,44,50,64,120,129,135],"sepsis":[18,51,65,96,130],"symptoms":[19],"important":[21],"prevent":[23],"the":[24,27,32,83,121,133,143],"progression":[25],"into":[26],"more":[28],"stages":[30],"disease,":[33],"which":[34],"kills":[35],"one":[36],"in":[37,54,142],"four":[38],"it":[39,111],"effects.":[40],"Electronic":[41],"records":[43],"1492":[45],"patients":[46,131],"containing":[47],"233":[48],"cases":[49],"were":[52],"used":[53,70],"clustering":[56],"analysis":[57],"identify":[59],"features":[60],"that":[61,114],"are":[62],"indicative":[63],"and":[66,92,108],"can":[67],"be":[68,118],"further":[69],"for":[71,95],"training":[72],"Bayesian":[74,78,127],"inference":[75],"network.":[76],"The":[77,98],"network":[79,100],"was":[80,112],"constructed":[81],"using":[82],"systemic":[84],"inflammatory":[85],"syndrome":[87],"criteria,":[88],"mean":[89],"arterial":[90],"pressure,":[91],"lactate":[93,106,115],"levels":[94,107,116],"patients.":[97],"resulting":[99],"reveals":[101],"clear":[103],"correlation":[104],"between":[105],"sepsis.":[109],"Furthermore,":[110],"shown":[113],"may":[117],"predicative":[119],"SIRS":[122],"criteria.":[123],"In":[124],"this":[125],"light,":[126],"networks":[128],"hold":[132],"promise":[134],"providing":[136],"clinical":[138],"decision":[139],"support":[140],"system":[141],"future.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}