{"id":"https://openalex.org/W4205236149","doi":"https://doi.org/10.1109/bibm52615.2021.9669310","title":"MMDA: Disease Analysis Model Based on Anthropometric Measurement","display_name":"MMDA: Disease Analysis Model Based on Anthropometric Measurement","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4205236149","doi":"https://doi.org/10.1109/bibm52615.2021.9669310"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669310","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5080027849","display_name":"Tao Song","orcid":"https://orcid.org/0009-0005-6221-0470"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Song","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101568031","display_name":"Zhang Rui","orcid":"https://orcid.org/0000-0002-5226-1750"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083823285","display_name":"Yukun Dong","orcid":"https://orcid.org/0000-0003-0787-5806"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yukun Dong","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026358859","display_name":"Fubin Liu","orcid":"https://orcid.org/0000-0002-1658-2434"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fubin Liu","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062109484","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-9467-8733"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023122235","display_name":"Rongrong Peng","orcid":"https://orcid.org/0000-0001-7144-896X"},"institutions":[{"id":"https://openalex.org/I4210162190","display_name":"China University of Petroleum, East China","ror":"https://ror.org/05gbn2817","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210162190"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Peng","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China","institution_ids":["https://openalex.org/I4210162190"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5080027849"],"corresponding_institution_ids":["https://openalex.org/I4210162190"],"apc_list":null,"apc_paid":null,"fwci":0.4962,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8276114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3092","last_page":"3098"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12994","display_name":"Infrared Thermography in Medicine","score":0.9677000045776367,"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/T11109","display_name":"Thermoregulation and physiological responses","score":0.9387000203132629,"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/anthropometry","display_name":"Anthropometry","score":0.7942003011703491},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6388614773750305},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5397714972496033},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.5392547845840454},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4720906913280487},{"id":"https://openalex.org/keywords/ellipse","display_name":"Ellipse","score":0.461581289768219},{"id":"https://openalex.org/keywords/human-health","display_name":"Human health","score":0.41440674662590027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3948764204978943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25019311904907227},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20993119478225708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20638734102249146},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.13410550355911255}],"concepts":[{"id":"https://openalex.org/C61427482","wikidata":"https://www.wikidata.org/wiki/Q6656244","display_name":"Anthropometry","level":2,"score":0.7942003011703491},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388614773750305},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5397714972496033},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.5392547845840454},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4720906913280487},{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.461581289768219},{"id":"https://openalex.org/C2987857752","wikidata":"https://www.wikidata.org/wiki/Q12147","display_name":"Human health","level":2,"score":0.41440674662590027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3948764204978943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25019311904907227},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20993119478225708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20638734102249146},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.13410550355911255},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669310","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W843308746","https://openalex.org/W1756414849","https://openalex.org/W1939829847","https://openalex.org/W1967554269","https://openalex.org/W2001527563","https://openalex.org/W2055533591","https://openalex.org/W2066716094","https://openalex.org/W2107044652","https://openalex.org/W2109946835","https://openalex.org/W2118476521","https://openalex.org/W2124821727","https://openalex.org/W2165090274","https://openalex.org/W2194775991","https://openalex.org/W2345986412","https://openalex.org/W2512858187","https://openalex.org/W2597221406","https://openalex.org/W2738007405","https://openalex.org/W2754152594","https://openalex.org/W2754894981","https://openalex.org/W2763055566","https://openalex.org/W2780929683","https://openalex.org/W2794115123","https://openalex.org/W2939873524","https://openalex.org/W2963907666","https://openalex.org/W2996511193","https://openalex.org/W3015083737","https://openalex.org/W3016491271","https://openalex.org/W3016907099","https://openalex.org/W3049201821","https://openalex.org/W3088085199","https://openalex.org/W3116381213","https://openalex.org/W3129388052","https://openalex.org/W3161056026","https://openalex.org/W4252261798","https://openalex.org/W6776525306","https://openalex.org/W6782250090","https://openalex.org/W6787552511","https://openalex.org/W7073618432"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W2890757232","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2379214773","https://openalex.org/W2735886528","https://openalex.org/W2360780394","https://openalex.org/W56539008","https://openalex.org/W4207013904"],"abstract_inverted_index":{"A":[0],"large":[1],"number":[2],"of":[3,53,61,81,87,116,176,191,205],"clinical":[4],"studies":[5],"have":[6],"proved":[7],"that":[8],"body":[9,73,89,95,118,123,150,185],"shape":[10,85],"is":[11,75,110],"closely":[12],"related":[13,197],"to":[14,35,41,77,112,147,155,198],"health.":[15],"Considering":[16],"the":[17,20,49,79,103,114,120,128,140,148],"actual":[18],"situation,":[19],"traditional":[21,129],"health":[22,43,168],"examination":[23],"has":[24],"some":[25,54],"limitations,":[26],"such":[27],"as":[28],"low":[29],"efficiency,":[30],"complex":[31],"process":[32],"and":[33,47,51,99,102,130,138,144,162,173,200],"unable":[34],"achieve":[36],"real-time":[37],"monitoring.":[38],"In":[39,64,178],"order":[40],"make":[42],"prevention":[44],"more":[45],"targeted":[46],"reduce":[48],"risk":[50],"deterioration":[52],"diseases,":[55,137],"we":[56],"propose":[57],"a":[58,67],"prediction":[59],"model":[60,74,106],"obesity":[62,136],"diseases.":[63,177,206],"this":[65],"model,":[66],"method":[68,181],"based":[69],"on":[70,119],"three-dimensional":[71,121],"human":[72,82,88,94,117,122],"used":[76,111],"obtain":[78],"size":[80,115],"body.":[83],"The":[84],"features":[86],"are":[90],"extracted":[91],"from":[92],"two":[93,157],"images":[96],"(front":[97],"image":[98],"side":[100],"image),":[101],"dense":[104],"ellipse":[105],"proposed":[107],"by":[108],"us":[109],"measure":[113,183],"model.":[124],"We":[125],"also":[126],"summarize":[127],"nontraditional":[131],"anthropometric":[132,171,195],"parameters":[133,196],"for":[134],"predicting":[135],"give":[139],"possible":[141,174,203],"disease":[142],"types":[143,175,204],"risks":[145],"according":[146],"measured":[149],"size.":[151],"Users":[152],"only":[153],"need":[154],"take":[156],"photos":[158],"through":[159],"smart":[160],"phones,":[161],"about":[163],"15":[164,194],"seconds":[165],"can":[166,182],"get":[167],"reports":[169],"including":[170],"dimensions":[172,186],"summary,":[179],"our":[180],"38":[184],"with":[187],"an":[188],"accuracy":[189],"rate":[190],"97.4%,":[192],"calculate":[193],"obesity,":[199],"analyze":[201],"10":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
