{"id":"https://openalex.org/W2290040844","doi":"https://doi.org/10.1109/bmei.2015.7401555","title":"Prediction model of human body composition based on physiological information entropy","display_name":"Prediction model of human body composition based on physiological information entropy","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2290040844","doi":"https://doi.org/10.1109/bmei.2015.7401555","mag":"2290040844"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2015.7401555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2015.7401555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","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/A5027166468","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-4370-537X"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Chen","raw_affiliation_strings":["College of Information Engineering, Dalian University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006709906","display_name":"Xiue Gao","orcid":"https://orcid.org/0000-0002-5753-1924"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiu-e Gao","raw_affiliation_strings":["College of Information Engineering, Dalian University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103246248","display_name":"Liang Zhan","orcid":"https://orcid.org/0000-0002-4266-0694"},"institutions":[{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiqiang Zhang","raw_affiliation_strings":["College of Information Engineering, Dalian University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Dalian University, Dalian, China","institution_ids":["https://openalex.org/I4210092944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027166468"],"corresponding_institution_ids":["https://openalex.org/I4210092944"],"apc_list":null,"apc_paid":null,"fwci":0.5531,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.69905034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"140","issue":null,"first_page":"495","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12279","display_name":"Body Composition Measurement Techniques","score":0.9962999820709229,"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/T12279","display_name":"Body Composition Measurement Techniques","score":0.9962999820709229,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9347000122070312,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/bioelectrical-impedance-analysis","display_name":"Bioelectrical impedance analysis","score":0.7089451551437378},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.665481448173523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6128764152526855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48812851309776306},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.444749653339386},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.4373142123222351},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4186094105243683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40825510025024414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3813318610191345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36470091342926025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23593983054161072},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1327839195728302},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.06591981649398804}],"concepts":[{"id":"https://openalex.org/C33872192","wikidata":"https://www.wikidata.org/wiki/Q864287","display_name":"Bioelectrical impedance analysis","level":3,"score":0.7089451551437378},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.665481448173523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128764152526855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48812851309776306},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.444749653339386},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.4373142123222351},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4186094105243683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40825510025024414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813318610191345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36470091342926025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23593983054161072},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1327839195728302},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.06591981649398804},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1109/bmei.2015.7401555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2015.7401555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1499659561","https://openalex.org/W2044916973","https://openalex.org/W2058380590","https://openalex.org/W2064278351","https://openalex.org/W2080868920","https://openalex.org/W2107969104","https://openalex.org/W2144168817","https://openalex.org/W2150249087","https://openalex.org/W2157655583","https://openalex.org/W2164556655","https://openalex.org/W2416235389"],"related_works":["https://openalex.org/W4308273529","https://openalex.org/W2061278088","https://openalex.org/W2075237332","https://openalex.org/W2163103544","https://openalex.org/W3039080452","https://openalex.org/W3033899355","https://openalex.org/W3025482071","https://openalex.org/W4210452449","https://openalex.org/W2921877942","https://openalex.org/W2055254734"],"abstract_inverted_index":{"Body":[0],"composition":[1,46,94,119],"analysis":[2,33],"can":[3,13,76,104],"not":[4],"only":[5],"reflect":[6],"the":[7,29,43,48,92,102,106,111,115],"state":[8],"of":[9,28,55,73,88,117],"health,":[10],"but":[11],"also":[12],"play":[14],"a":[15,70,85],"role":[16],"in":[17],"disease":[18],"prevention.":[19],"Aiming":[20],"at":[21],"many":[22],"influencing":[23],"factors,":[24],"complex":[25],"modeling":[26,42],"issues":[27],"existing":[30],"bioelectrical":[31],"impedance":[32],"algorithms,":[34],"this":[35],"paper":[36],"draws":[37],"information":[38,67,82],"entropy":[39,52],"theory":[40],"into":[41],"human":[44],"body":[45,80,93,118],"for":[47],"first":[49],"time,":[50],"establishes":[51],"evaluation":[53],"criteria":[54],"physiological":[56,66,81],"characteristic":[57,108],"parameters,":[58],"puts":[59],"forward":[60],"feature":[61],"selection":[62],"algorithm":[63,103],"based":[64],"on":[65],"entropy,":[68],"selects":[69],"reasonable":[71],"subset":[72],"features":[74,89],"that":[75,101],"most":[77],"effectively":[78],"interpret":[79],"and":[83,110],"have":[84],"minimal":[86],"number":[87],"to":[90],"give":[91],"prediction":[95],"fitted":[96,112],"model.":[97],"Experimental":[98],"results":[99],"show":[100],"select":[105],"useful":[107],"parameters":[109],"model":[113],"improves":[114],"accuracy":[116],"prediction.":[120]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}