{"id":"https://openalex.org/W2964137802","doi":"https://doi.org/10.1109/icapr.2017.8593180","title":"A Model for Medical Diagnosis Based on Plantar Pressure","display_name":"A Model for Medical Diagnosis Based on Plantar Pressure","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2964137802","doi":"https://doi.org/10.1109/icapr.2017.8593180","mag":"2964137802"},"language":"en","primary_location":{"id":"doi:10.1109/icapr.2017.8593180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8593180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","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/A5100883192","display_name":"Guoxiong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxiong Xu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038098004","display_name":"Hongshi Huang","orcid":"https://orcid.org/0000-0003-4965-1333"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210141942","display_name":"Peking University Third Hospital","ror":"https://ror.org/04wwqze12","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141942"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongshi Huang","raw_affiliation_strings":["Institute of Sports Medicine, Peking University Third Hospital, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Sports Medicine, Peking University Third Hospital, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210141942"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447868","display_name":"Can Liu","orcid":"https://orcid.org/0000-0002-1175-0734"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Liu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047035857","display_name":"Zhengfei Wang","orcid":"https://orcid.org/0000-0002-0788-9725"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengfei Wang","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397214","display_name":"Wenxin Li","orcid":"https://orcid.org/0000-0003-1744-7792"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Li","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100690916","display_name":"Shilei Liu","orcid":"https://orcid.org/0000-0003-1700-4385"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilei Liu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1677,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59883452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"521","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9024999737739563,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8407770991325378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6787467002868652},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.6668435335159302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5528221726417542},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5282151699066162},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48682230710983276},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.463385671377182},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08970621228218079}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8407770991325378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787467002868652},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.6668435335159302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5528221726417542},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5282151699066162},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48682230710983276},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.463385671377182},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08970621228218079},{"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/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icapr.2017.8593180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icapr.2017.8593180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)","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":27,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1973315711","https://openalex.org/W1998199365","https://openalex.org/W2014948887","https://openalex.org/W2033855626","https://openalex.org/W2034382671","https://openalex.org/W2038572348","https://openalex.org/W2038840333","https://openalex.org/W2039663249","https://openalex.org/W2044711853","https://openalex.org/W2091058823","https://openalex.org/W2097117768","https://openalex.org/W2103336450","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2206858481","https://openalex.org/W2329475539","https://openalex.org/W2342840547","https://openalex.org/W2529848302","https://openalex.org/W2919115771","https://openalex.org/W6637373629","https://openalex.org/W6674914833","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6688059459","https://openalex.org/W6704559304","https://openalex.org/W6728130534"],"related_works":["https://openalex.org/W2364252372","https://openalex.org/W4234066492","https://openalex.org/W1998063895","https://openalex.org/W1967044713","https://openalex.org/W4293226380","https://openalex.org/W2133470120","https://openalex.org/W2747625183","https://openalex.org/W1994286895","https://openalex.org/W2378393413","https://openalex.org/W2802922463"],"abstract_inverted_index":{"The":[0,25],"process":[1],"of":[2,60,121],"determining":[3],"which":[4],"disease":[5],"or":[6],"condition":[7],"explains":[8],"a":[9,71,87],"persons":[10],"symptoms":[11],"and":[12,18,39,55,117],"signs":[13],"can":[14],"be":[15,20],"very":[16],"complicated":[17],"may":[19],"inaccurate":[21],"in":[22,51,136],"some":[23],"cases.":[24],"general":[26],"belief":[27],"is":[28,134],"that":[29,89,125],"diagnosing":[30],"diseases":[31],"relies":[32],"on":[33,78,110,129],"doctors":[34],"keen":[35],"intuition,":[36],"rich":[37],"experience":[38],"professional":[40],"equipment.":[41],"In":[42],"this":[43],"work,":[44],"we":[45,69,112],"employ":[46],"ideas":[47],"from":[48,56,114],"recent":[49],"advances":[50],"plantar":[52,79,91],"pressure":[53,80,92],"research":[54],"the":[57,61,107,126,130],"powerful":[58],"capacity":[59],"convolutional":[62,74,131],"neural":[63,75,132],"network":[64,76,88,133],"for":[65,81],"learning":[66],"representations.":[67],"Here,":[68],"propose":[70],"model":[72,85,104,127],"using":[73],"based":[77],"medical":[82,97,108,137],"diagnosis.":[83,138],"Our":[84],"learns":[86],"maps":[90],"data":[93],"to":[94,105],"its":[95],"corresponding":[96],"diagnostic":[98],"label.":[99],"We":[100,123],"then":[101],"apply":[102],"our":[103],"make":[106],"diagnosis":[109],"datasets":[111],"collected":[113],"cooperative":[115],"hospital":[116],"achieve":[118],"an":[119],"accuracy":[120],"98.36%.":[122],"demonstrate":[124],"base":[128],"competitive":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
