{"id":"https://openalex.org/W4200544239","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624215","title":"Multi-factors Body Surface Area Calculation Model Based on G-CNN(Grey Correlation Analysis-Convolution Neural Network)","display_name":"Multi-factors Body Surface Area Calculation Model Based on G-CNN(Grey Correlation Analysis-Convolution Neural Network)","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4200544239","doi":"https://doi.org/10.1109/cisp-bmei53629.2021.9624215"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei53629.2021.9624215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624215","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100682365","display_name":"Yulu Wang","orcid":"https://orcid.org/0000-0002-8320-3529"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulu Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039217360","display_name":"Lei Jin","orcid":"https://orcid.org/0000-0003-4855-2464"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Jin","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115589198","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-3793-3264"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, Anhui, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666442","display_name":"Han Li","orcid":"https://orcid.org/0000-0002-0286-3737"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Han","raw_affiliation_strings":["Hospital of Anhui Medical University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital of Anhui Medical University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I197869895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325829","display_name":"Fei Li","orcid":"https://orcid.org/0000-0002-4737-5710"},"institutions":[{"id":"https://openalex.org/I197869895","display_name":"Anhui Medical University","ror":"https://ror.org/03xb04968","country_code":"CN","type":"education","lineage":["https://openalex.org/I197869895"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["Hospital of Anhui Medical University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hospital of Anhui Medical University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I197869895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"109","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11109","display_name":"Thermoregulation and physiological responses","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T11109","display_name":"Thermoregulation and physiological responses","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T12994","display_name":"Infrared Thermography in Medicine","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T12279","display_name":"Body Composition Measurement Techniques","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7458545565605164},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.6160528659820557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6148136854171753},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5825100541114807},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5650943517684937},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.562549889087677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.549190878868103},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5373201966285706},{"id":"https://openalex.org/keywords/body-surface-area","display_name":"Body surface area","score":0.5058226585388184},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.49056023359298706},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4847114086151123},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4828648865222931},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47987762093544006},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46937134861946106},{"id":"https://openalex.org/keywords/body-surface","display_name":"Body surface","score":0.460627943277359},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45946004986763},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.43617427349090576},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42782527208328247},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.410377562046051},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3249950408935547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2971838414669037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2790371775627136},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07967278361320496}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7458545565605164},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.6160528659820557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6148136854171753},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5825100541114807},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5650943517684937},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.562549889087677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.549190878868103},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5373201966285706},{"id":"https://openalex.org/C2777501473","wikidata":"https://www.wikidata.org/wiki/Q1796666","display_name":"Body surface area","level":2,"score":0.5058226585388184},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49056023359298706},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4847114086151123},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4828648865222931},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47987762093544006},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46937134861946106},{"id":"https://openalex.org/C3020541326","wikidata":"https://www.wikidata.org/wiki/Q1796666","display_name":"Body surface","level":2,"score":0.460627943277359},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45946004986763},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.43617427349090576},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42782527208328247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.410377562046051},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3249950408935547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2971838414669037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2790371775627136},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07967278361320496},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei53629.2021.9624215","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei53629.2021.9624215","pdf_url":null,"source":{"id":"https://openalex.org/S4363605805","display_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":21,"referenced_works":["https://openalex.org/W392873248","https://openalex.org/W1538322084","https://openalex.org/W1971850777","https://openalex.org/W1996214957","https://openalex.org/W1997535476","https://openalex.org/W2000395626","https://openalex.org/W2006644668","https://openalex.org/W2009244692","https://openalex.org/W2027444561","https://openalex.org/W2078904695","https://openalex.org/W2121461111","https://openalex.org/W2167613591","https://openalex.org/W2205795857","https://openalex.org/W2284032504","https://openalex.org/W2384357050","https://openalex.org/W2470421573","https://openalex.org/W2582776397","https://openalex.org/W3004300329","https://openalex.org/W3005172792","https://openalex.org/W6695622100","https://openalex.org/W6773652631"],"related_works":["https://openalex.org/W2354276835","https://openalex.org/W2353191112","https://openalex.org/W2260605472","https://openalex.org/W2388853119","https://openalex.org/W2365666477","https://openalex.org/W1988086246","https://openalex.org/W2126491294","https://openalex.org/W1995612551","https://openalex.org/W2360120583","https://openalex.org/W2905087997"],"abstract_inverted_index":{"Body":[0],"surface":[1,34,107,143,201],"area":[2,35,108,144,202],"(BSA)":[3],"plays":[4],"a":[5,27,67],"crucial":[6],"role":[7],"in":[8,30,94,193],"clinical":[9],"medicine,":[10],"so":[11],"it":[12,185],"is":[13,124,186],"very":[14],"significant":[15],"to":[16,41,65,126],"calculate":[17,198],"BSA":[18,23,68],"accurately.":[19],"However,":[20],"the":[21,32,42,60,102,132,153,160,175,182,189,199],"existing":[22],"calculation":[24,145],"formula":[25,146],"has":[26,174],"large":[28],"error":[29],"calculating":[31],"body":[33,74,106,155,200],"of":[36,58,98,105,116,134,140,164,203],"Chinese":[37,204],"people,":[38],"mainly":[39],"due":[40],"following":[43],"reasons:":[44],"less":[45],"indicative":[46],"characteristics;":[47],"model":[48,70,93,137,173],"similarity;":[49],"based":[50,77,151],"on":[51,78,152],"European":[52],"and":[53,81,147,205],"American":[54],"datasets.":[55],"In":[56],"view":[57],"solving":[59],"above":[61,183],"problems,":[62],"we":[63],"propose":[64],"construct":[66,127],"regression":[69,91,128,190],"by":[71,114,159],"using":[72],"human":[73,142,154],"data":[75,156],"obtained":[76],"3D":[79],"scanning":[80],"selecting":[82],"multiple":[83],"appropriate":[84],"impact":[85],"factors":[86,104],"as":[87],"input":[88],"variables.":[89],"The":[90],"prediction":[92],"this":[95,194],"study":[96,195],"consists":[97],"two":[99,148],"parts:":[100],"firstly,":[101],"influence":[103],"with":[109,138],"high":[110],"correlation":[111,118],"are":[112],"selected":[113],"means":[115],"grey":[117],"analysis;":[119],"Secondly,":[120],"convolutional":[121],"neural":[122],"network":[123,136,149],"introduced":[125],"model.":[129],"We":[130],"compare":[131],"results":[133,169],"CNN":[135,172],"those":[139],"traditional":[141],"models":[150],"set":[157],"provided":[158],"Second":[161],"Affiliated":[162],"Hospital":[163],"Anhui":[165],"Medical":[166],"University.":[167],"Experimental":[168],"illustrate":[170],"that":[171,188],"best":[176],"usability,":[177],"outperforming":[178],"previous":[179],"models.":[180],"Through":[181],"experiments,":[184],"proved":[187],"framework":[191],"proposed":[192],"can":[196],"better":[197],"obtain":[206],"more":[207],"accurate":[208],"predictive":[209],"value.":[210]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}