{"id":"https://openalex.org/W3204107299","doi":"https://doi.org/10.1145/3467707.3467772","title":"Prediction Model of Blood Pressure during Hemodialysis Base on Deep Learning","display_name":"Prediction Model of Blood Pressure during Hemodialysis Base on Deep Learning","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3204107299","doi":"https://doi.org/10.1145/3467707.3467772","mag":"3204107299"},"language":"en","primary_location":{"id":"doi:10.1145/3467707.3467772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and 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/A5100325273","display_name":"Guan Wang","orcid":"https://orcid.org/0000-0001-9974-4867"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guan Wang","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110806789","display_name":"Haojie Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haojie Fan","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100325273"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14228101,"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":"431","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9768999814987183,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9768999814987183,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.9657999873161316,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hemodialysis","display_name":"Hemodialysis","score":0.851028561592102},{"id":"https://openalex.org/keywords/blood-pressure","display_name":"Blood pressure","score":0.681122899055481},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5457469820976257},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4878075420856476},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.4862278997898102},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.48605969548225403},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46314001083374023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39250192046165466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37910518050193787},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3509829640388489},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.33510643243789673},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.32921332120895386},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.30942586064338684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22821176052093506},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22550207376480103}],"concepts":[{"id":"https://openalex.org/C2778063415","wikidata":"https://www.wikidata.org/wiki/Q391744","display_name":"Hemodialysis","level":2,"score":0.851028561592102},{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.681122899055481},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5457469820976257},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4878075420856476},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.4862278997898102},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.48605969548225403},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46314001083374023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39250192046165466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37910518050193787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3509829640388489},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.33510643243789673},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.32921332120895386},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.30942586064338684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22821176052093506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22550207376480103}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3467707.3467772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1562924324","https://openalex.org/W2015985912","https://openalex.org/W2136922672","https://openalex.org/W2161923453","https://openalex.org/W2808877131","https://openalex.org/W2900359145","https://openalex.org/W3017876702","https://openalex.org/W3028487170","https://openalex.org/W4255927081"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4285794683","https://openalex.org/W4385195237","https://openalex.org/W4286256617","https://openalex.org/W4385577504","https://openalex.org/W4318676890","https://openalex.org/W121055840"],"abstract_inverted_index":{"Hemodialysis":[0],"is":[1,56,148,156,159],"the":[2,34,48,63,66,71,77,111,124,129,140,146,150,163,168,171],"main":[3],"treatment":[4,14],"for":[5,132],"patients":[6],"with":[7,13,162],"renal":[8],"failure.":[9],"Significant":[10],"complications":[11,24],"associated":[12],"include":[15],"hypotension,":[16],"cramps,":[17],"insufficient":[18],"blood":[19,29,51,89],"flow,":[20],"and":[21,36,38,101,121,158],"arrhythmia.":[22],"Most":[23],"are":[25],"related":[26],"to":[27,128],"unstable":[28],"pressure":[30,52,90],"during":[31,54,93],"hemodialysis.":[32],"Although":[33],"science":[35],"technology":[37],"computer":[39],"industry":[40],"have":[41],"made":[42],"great":[43],"progress":[44],"in":[45,70,167],"recent":[46],"years,":[47],"problem":[49,64],"of":[50,82,115,145],"prediction":[53,91,172],"hemodialysis":[55,83,94,116],"still":[57],"a":[58,88],"big":[59],"challenge.":[60],"Aiming":[61],"at":[62],"that":[65,139],"shallow":[67,164],"model":[68,92,147,165],"used":[69,166],"current":[72,169],"research":[73],"does":[74],"not":[75],"consider":[76],"high-dimensional":[78,126],"nonlinear":[79],"combination":[80,113],"characteristics":[81],"data,":[84],"this":[85,107],"paper":[86],"proposes":[87],"based":[95],"on":[96],"deep":[97],"belief":[98],"network":[99],"(DBN)":[100],"support":[102],"vector":[103],"regression":[104,133],"(SVR).":[105],"In":[106],"model,":[108],"DBN":[109],"extracts":[110],"non-linear":[112],"features":[114,127],"data":[117],"layer":[118],"by":[119],"layer,":[120],"then":[122],"transfers":[123],"extracted":[125],"top-level":[130],"SVR":[131],"prediction.":[134],"The":[135],"experimental":[136],"results":[137],"show":[138],"mean":[141,152],"absolute":[142],"error":[143,154],"(MAE)":[144],"3.79,":[149],"root":[151],"square":[153],"(RMSE)":[155],"9.01,":[157],"0.88.":[160],"Compared":[161],"research,":[170],"effect":[173],"has":[174],"been":[175],"significantly":[176],"improved.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
