{"id":"https://openalex.org/W2758791708","doi":"https://doi.org/10.1109/access.2017.2754283","title":"An Intelligent Cognition Method of Human Health States Based on a Variant Knowledge Granularity Feedback Mechanism","display_name":"An Intelligent Cognition Method of Human Health States Based on a Variant Knowledge Granularity Feedback Mechanism","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2758791708","doi":"https://doi.org/10.1109/access.2017.2754283","mag":"2758791708"},"language":"en","primary_location":{"id":"doi:10.1109/access.2017.2754283","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2754283","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2017.2754283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100646162","display_name":"Weitao Li","orcid":"https://orcid.org/0000-0003-2142-4075"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"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"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Weitao Li","raw_affiliation_strings":["Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan","School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2142-4075","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356287","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-7911-1197"},"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":"Jianping Wang","raw_affiliation_strings":["School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051009384","display_name":"Keqiong Chen","orcid":"https://orcid.org/0000-0003-2610-4062"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiong Chen","raw_affiliation_strings":["Department of Electronic Information and Electrical Engineering, Hefei University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2610-4062","affiliations":[{"raw_affiliation_string":"Department of Electronic Information and Electrical Engineering, Hefei University, Hefei, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100318377","display_name":"Wei Li","orcid":"https://orcid.org/0000-0003-1418-0201"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"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"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan","School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100646162"],"corresponding_institution_ids":["https://openalex.org/I150744194","https://openalex.org/I16365422","https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4632,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93075616,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"19570","last_page":"19580"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.7805723547935486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7214475870132446},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.6668119430541992},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5787125825881958},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.526676595211029},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.512143611907959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45551908016204834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3742637038230896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12172874808311462},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09057727456092834},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0876610279083252}],"concepts":[{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.7805723547935486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7214475870132446},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.6668119430541992},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5787125825881958},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.526676595211029},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.512143611907959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45551908016204834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3742637038230896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12172874808311462},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09057727456092834},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0876610279083252},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2017.2754283","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2754283","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b9b5db9219f543ac974e91c7ece4f51a","is_oa":true,"landing_page_url":"https://doaj.org/article/b9b5db9219f543ac974e91c7ece4f51a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 19570-19580 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2017.2754283","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2017.2754283","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1095842784","display_name":null,"funder_award_id":"PAL-N201504","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"},{"id":"https://openalex.org/G4822942315","display_name":null,"funder_award_id":"PAL-N201605","funder_id":"https://openalex.org/F4320335661","funder_display_name":"State Key Laboratory of Synthetical Automation for Process Industries"}],"funders":[{"id":"https://openalex.org/F4320335661","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1974763041","https://openalex.org/W1995089861","https://openalex.org/W1995453310","https://openalex.org/W2010670441","https://openalex.org/W2023856028","https://openalex.org/W2059429344","https://openalex.org/W2059912118","https://openalex.org/W2060690776","https://openalex.org/W2082450642","https://openalex.org/W2096060214","https://openalex.org/W2099783587","https://openalex.org/W2101713668","https://openalex.org/W2115061082","https://openalex.org/W2116830841","https://openalex.org/W2128552148","https://openalex.org/W2138012664","https://openalex.org/W2151012661","https://openalex.org/W2152606053","https://openalex.org/W2164556655","https://openalex.org/W2365062030","https://openalex.org/W2525122474","https://openalex.org/W2529695825","https://openalex.org/W2596403827"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4256502920","https://openalex.org/W3034924094"],"abstract_inverted_index":{"Human":[0],"health":[1,22,27,36,66,78,120,145,195],"has":[2,173],"become":[3],"a":[4,40],"social":[5],"and":[6,15,24,60,62,69,89,94,113,122,137],"personal":[7],"focus.":[8],"Targeting":[9],"the":[10,13,53,64,83,95,115,123,134,139,154,161,170,179,191,199],"problems":[11],"of":[12,17,21,26,34,76,108,118,126,143,156,166,193],"heterogeneity":[14],"randomness":[16,25],"crowd":[18,168],"samples,":[19,169],"diversity":[20],"features":[23],"feature":[28],"values,":[29],"an":[30,72],"intelligent":[31,73],"cognition":[32,55,74,90,142],"method":[33,187],"human":[35,54,65,77,144,194],"states":[37,79,121,146,196],"based":[38,105,132],"on":[39,106,133],"variant":[41,97,148],"knowledge":[42,98,127,149],"granularity":[43,84,99,128,150],"feedback":[44,100,141],"mechanism":[45,101],"is":[46,92,102,151],"explored":[47],"in":[48,153],"this":[49],"paper":[50],"to":[51,177],"imitate":[52],"process":[56],"with":[57,80,147,198],"repeated":[58],"comparison":[59],"inference,":[61],"evaluate":[63],"state":[67],"quickly":[68],"accurately.":[70],"First,":[71],"model":[75,136],"interconnection":[81],"between":[82],"decision":[85],"layer,":[86,88],"training":[87],"layer":[91],"proposed,":[93],"corresponding":[96],"established.":[103],"Second,":[104],"bag":[107],"words,":[109],"latent":[110],"semantic":[111],"analysis,":[112],"entropy,":[114],"estimated":[116],"index":[117,125],"uncertain":[119],"regulative":[124],"are":[129],"constructed.":[130],"Third,":[131],"proposed":[135,180],"indexes,":[138],"optimal":[140],"achieved":[152],"sense":[155],"pattern":[157],"classification.":[158],"Finally,":[159],"for":[160],"collected":[162],"bioelectrical":[163],"impedance":[164],"signals":[165],"random":[167],"simulated":[171],"experiment":[172],"been":[174],"carried":[175],"out":[176],"validate":[178],"method.":[181],"Experimental":[182],"results":[183],"indicate":[184],"that":[185],"our":[186],"can":[188],"effectively":[189],"improve":[190],"accuracy":[192],"compared":[197],"existing":[200],"open-loop":[201],"methods.":[202]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}