{"id":"https://openalex.org/W4225283781","doi":"https://doi.org/10.1145/3523111.3523129","title":"Modeling and Prediction of Invasive Systolic Blood Pressure after General Anesthesia Based on Fusion Algorithm","display_name":"Modeling and Prediction of Invasive Systolic Blood Pressure after General Anesthesia Based on Fusion Algorithm","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4225283781","doi":"https://doi.org/10.1145/3523111.3523129"},"language":"en","primary_location":{"id":"doi:10.1145/3523111.3523129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523111.3523129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 5th International Conference on Machine Vision and Applications (ICMVA)","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/A5100368264","display_name":"Ziyi Chen","orcid":"https://orcid.org/0000-0002-2705-432X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyi Chen","raw_affiliation_strings":["School of Artificial intelligence and Data Science,Hebei University of Technology, Hebei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence and Data Science,Hebei University of Technology, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705457","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0003-3765-7324"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Artificial intelligence and Data Science,Hebei University of Technology, Hebei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence and Data Science,Hebei University of Technology, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004385690","display_name":"Qianling Wang","orcid":"https://orcid.org/0000-0002-1751-6631"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianling Wang","raw_affiliation_strings":["School of Artificial intelligence and Data Science,Hebei University of Technology, Hebei University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial intelligence and Data Science,Hebei University of Technology, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.0618896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"122"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10816","display_name":"Cerebrovascular and Carotid Artery Diseases","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T11930","display_name":"Cardiac, Anesthesia and Surgical Outcomes","score":0.9848999977111816,"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/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.718471884727478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4886172413825989},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4387868344783783},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4211067855358124},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3506304621696472},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2858436405658722}],"concepts":[{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.718471884727478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4886172413825989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4387868344783783},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4211067855358124},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3506304621696472},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2858436405658722},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523111.3523129","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523111.3523129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 the 5th International Conference on Machine Vision and Applications (ICMVA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1656898673","https://openalex.org/W2022666598","https://openalex.org/W2022673901","https://openalex.org/W2041781505","https://openalex.org/W2045945747","https://openalex.org/W2063325056","https://openalex.org/W2083817839","https://openalex.org/W2339724065","https://openalex.org/W2580438754","https://openalex.org/W2625506697","https://openalex.org/W2804905874","https://openalex.org/W2888351760","https://openalex.org/W2998661903","https://openalex.org/W3009383526","https://openalex.org/W3023390265","https://openalex.org/W3044663350","https://openalex.org/W3093477733","https://openalex.org/W3135185881","https://openalex.org/W4220961572","https://openalex.org/W4255354340"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W3031052312","https://openalex.org/W4389568370","https://openalex.org/W3032375762","https://openalex.org/W1995515455","https://openalex.org/W2080531066","https://openalex.org/W3108674512","https://openalex.org/W1506200166","https://openalex.org/W1489783725"],"abstract_inverted_index":{"During":[0],"surgery,":[1],"invasive":[2,32,58,82,151,164],"systolic":[3,33,59,83,152,165],"blood":[4,34,60,84,153,166],"pressure":[5,35,85,154,167],"is":[6],"an":[7],"important":[8],"basis":[9],"for":[10,178],"doctors":[11,179],"to":[12,40,48,79,133,180,188],"judge":[13],"the":[14,22,25,29,42,51,67,81,90,93,108,135,140,145,172,184],"patient's":[15],"life":[16],"state,":[17],"which":[18],"will":[19],"directly":[20],"affect":[21],"security":[23],"of":[24,31,44,57,150,163,186],"surgery.":[26,45],"Accurately":[27],"predict":[28,80],"changes":[30],"during":[36,107],"general":[37,87,156,169],"anesthesia":[38,157,170],"help":[39],"reduce":[41],"risk":[43,54,185],"In":[46,89,117],"order":[47],"cope":[49],"with":[50],"increasing":[52],"surgical":[53,109],"by":[55,104],"fluctuations":[56],"pressure,":[61],"this":[62,118],"paper":[63],"optimized":[64],"and":[65,72,100,128,182],"combined":[66],"traditional":[68],"machine":[69],"learning":[70],"algorithm,":[71],"put":[73],"forward":[74],"a":[75,189],"new":[76,136],"fusion":[77,137,146],"algorithm":[78],"after":[86,155,168],"anesthesia.":[88],"modeling":[91],"process,":[92],"patients\u2019":[94],"basic":[95],"physical":[96],"conditions,":[97],"disease":[98],"status,":[99],"intraoperative":[101],"data":[102],"collected":[103],"monitoring":[105],"instrument":[106],"preparation":[110,173],"stage":[111,174],"were":[112,131],"used":[113,132],"as":[114],"characteristic":[115],"variable.":[116],"paper,":[119],"Linear":[120],"Regression,":[121,125,127],"Support":[122],"Vector":[123],"Machine":[124],"Lasso":[126],"Ridge":[129],"Regression":[130],"establish":[134],"algorithm.":[138],"When":[139],"absolute":[141],"error":[142],"within":[143],"15mmHg,":[144],"algorithm's":[147],"predicting":[148],"accuracy":[149],"reached":[158],"91.5%.":[159],"The":[160],"accurate":[161],"prediction":[162],"in":[171],"provides":[175],"sufficient":[176],"time":[177],"respond":[181],"reduces":[183],"surgery":[187],"certain":[190],"extent.":[191]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
