{"id":"https://openalex.org/W4391678093","doi":"https://doi.org/10.1109/sii58957.2024.10417428","title":"Development of a Perioperative Medication Suspension Decision Algorithm Based on Bayesian Networks","display_name":"Development of a Perioperative Medication Suspension Decision Algorithm Based on Bayesian Networks","publication_year":2024,"publication_date":"2024-01-08","ids":{"openalex":"https://openalex.org/W4391678093","doi":"https://doi.org/10.1109/sii58957.2024.10417428"},"language":"en","primary_location":{"id":"doi:10.1109/sii58957.2024.10417428","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sii58957.2024.10417428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/SICE International Symposium on System Integration (SII)","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/A5043570940","display_name":"Shuhei Kawaguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shuhei Kawaguchi","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055282364","display_name":"Osamu Fukuda","orcid":"https://orcid.org/0000-0002-8022-7314"},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Fukuda","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110399342","display_name":"Sakiko Kimura","orcid":"https://orcid.org/0000-0003-1717-6208"},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sakiko Kimura","raw_affiliation_strings":["Saga University Hospital,Dep. of Pharmacy,Saga,Japan,849-8501"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saga University Hospital,Dep. of Pharmacy,Saga,Japan,849-8501","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040208746","display_name":"Wen Liang Yeoh","orcid":"https://orcid.org/0000-0003-1272-9010"},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wen Liang Yeoh","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038267059","display_name":"Nobuhiko Yamaguchi","orcid":"https://orcid.org/0000-0001-6172-4238"},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuhiko Yamaguchi","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112676396","display_name":"Hiroshi Okumura","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Okumura","raw_affiliation_strings":["Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Saga University,Saga,Japan,840-8502","institution_ids":["https://openalex.org/I177136067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02683047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26.1","issue":null,"first_page":"7","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.9940999746322632,"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/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9850000143051147,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T13970","display_name":"Pharmacy and Medical Practices","score":0.9648000001907349,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6944313645362854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6325249075889587},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5664951801300049},{"id":"https://openalex.org/keywords/perioperative","display_name":"Perioperative","score":0.5495764017105103},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4495656192302704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39468705654144287},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1740356981754303},{"id":"https://openalex.org/keywords/anesthesia","display_name":"Anesthesia","score":0.07849150896072388}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6944313645362854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6325249075889587},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5664951801300049},{"id":"https://openalex.org/C31174226","wikidata":"https://www.wikidata.org/wiki/Q64855140","display_name":"Perioperative","level":2,"score":0.5495764017105103},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4495656192302704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39468705654144287},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1740356981754303},{"id":"https://openalex.org/C42219234","wikidata":"https://www.wikidata.org/wiki/Q131130","display_name":"Anesthesia","level":1,"score":0.07849150896072388}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sii58957.2024.10417428","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sii58957.2024.10417428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE/SICE International Symposium on System Integration (SII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2178917","https://openalex.org/W1542443907","https://openalex.org/W1834574045","https://openalex.org/W2029800614","https://openalex.org/W2040955116","https://openalex.org/W2041301500","https://openalex.org/W2074888367","https://openalex.org/W2075557288","https://openalex.org/W2081689140","https://openalex.org/W2117122676","https://openalex.org/W2149310258","https://openalex.org/W2160773494","https://openalex.org/W2165031866","https://openalex.org/W2171480518","https://openalex.org/W2569556045","https://openalex.org/W2737571454","https://openalex.org/W2888868762","https://openalex.org/W3023703018","https://openalex.org/W3160838879","https://openalex.org/W4238531734"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W200942561","https://openalex.org/W4285792917","https://openalex.org/W2954763902","https://openalex.org/W1969612914","https://openalex.org/W1989843070","https://openalex.org/W1589001095","https://openalex.org/W3029505986","https://openalex.org/W3029652213"],"abstract_inverted_index":{"In":[0,29],"this":[1],"study,":[2],"we":[3],"developed":[4],"a":[5,12,35,80,106],"perioperative":[6,27],"drug":[7,19,46,95],"suspension":[8,20,47,53,96],"decision":[9],"system":[10],"using":[11],"Bayesian":[13,81],"network":[14,82],"to":[15,43,111],"estimate":[16],"the":[17,26,30,41,45,51,67,91,94,100],"appropriate":[18,52],"period":[21,54,97],"for":[22],"antithrombotic":[23],"drugs":[24],"in":[25,40,99],"period.":[28,48],"past,":[31],"physicians":[32],"relied":[33],"on":[34,85],"vast":[36],"amount":[37],"of":[38,69,93,102],"information":[39],"guidelines":[42],"determine":[44],"However,":[49],"determining":[50],"was":[55,109],"sometimes":[56],"difficult":[57],"when":[58],"competing":[59,103],"thrombotic":[60],"and":[61,78],"bleeding":[62],"risks":[63],"were":[64],"present":[65,113],"at":[66],"time":[68],"guideline":[70],"reference.":[71],"The":[72],"proposed":[73],"method":[74],"accumulates":[75],"expert":[76],"judgments":[77],"builds":[79],"model":[83],"based":[84],"these":[86],"data,":[87],"which":[88],"successfully":[89],"demonstrates":[90],"estimation":[92],"even":[98],"presence":[101],"risks.":[104],"Additionally,":[105],"web-application-based":[107],"interface":[108],"created":[110],"visually":[112],"causal":[114],"relationships.":[115]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}