{"id":"https://openalex.org/W3005379796","doi":"https://doi.org/10.1109/access.2020.2971281","title":"Multi-Type Interdependent Feature Analysis Based on Hybrid Neural Networks for Computer-Aided Diagnosis of Epidermal Growth Factor Receptor Mutations","display_name":"Multi-Type Interdependent Feature Analysis Based on Hybrid Neural Networks for Computer-Aided Diagnosis of Epidermal Growth Factor Receptor Mutations","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3005379796","doi":"https://doi.org/10.1109/access.2020.2971281","mag":"3005379796"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2971281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971281","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08979442.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://ieeexplore.ieee.org/ielx7/6287639/8948470/08979442.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061617562","display_name":"Ruoxi Qin","orcid":"https://orcid.org/0000-0003-0836-8179"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoxi Qin","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0836-8179","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439373","display_name":"Zhenzhen Wang","orcid":"https://orcid.org/0000-0002-8775-7481"},"institutions":[{"id":"https://openalex.org/I4210133534","display_name":"Henan Provincial People's Hospital","ror":"https://ror.org/03f72zw41","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133534"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhen Wang","raw_affiliation_strings":["Department of Radiology, Henan Provincial People\u2019s Hospital, Zhengzhou, China","Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-8775-7481","affiliations":[{"raw_affiliation_string":"Department of Radiology, Henan Provincial People\u2019s Hospital, Zhengzhou, China","institution_ids":["https://openalex.org/I4210133534"]},{"raw_affiliation_string":"Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China","institution_ids":["https://openalex.org/I4210133534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032832863","display_name":"Kai Qiao","orcid":"https://orcid.org/0000-0001-7057-9562"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Qiao","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7057-9562","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057404941","display_name":"Jinjin Hai","orcid":"https://orcid.org/0000-0002-3767-8152"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjin Hai","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3767-8152","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091258921","display_name":"Lingyun Jiang","orcid":"https://orcid.org/0000-0001-5967-3021"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyun Jiang","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5967-3021","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692949","display_name":"Jian Chen","orcid":"https://orcid.org/0000-0002-2135-8752"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Chen","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2135-8752","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084426759","display_name":"Xilong Pei","orcid":"https://orcid.org/0000-0001-6742-5116"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilong Pei","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6742-5116","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020394035","display_name":"Dapeng Shi","orcid":"https://orcid.org/0000-0002-2561-7475"},"institutions":[{"id":"https://openalex.org/I4210133534","display_name":"Henan Provincial People's Hospital","ror":"https://ror.org/03f72zw41","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210133534"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dapeng Shi","raw_affiliation_strings":["Department of Radiology, Henan Provincial People\u2019s Hospital, Zhengzhou, China","Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2561-7475","affiliations":[{"raw_affiliation_string":"Department of Radiology, Henan Provincial People\u2019s Hospital, Zhengzhou, China","institution_ids":["https://openalex.org/I4210133534"]},{"raw_affiliation_string":"Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, China","institution_ids":["https://openalex.org/I4210133534"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101616087","display_name":"Bin Yan","orcid":"https://orcid.org/0000-0002-0393-9641"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yan","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0393-9641","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2638,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82214841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":null,"first_page":"38517","last_page":"38527"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9990000128746033,"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10417","display_name":"Lung Cancer Treatments and Mutations","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/computer-science","display_name":"Computer science","score":0.778427004814148},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6947417259216309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6719554662704468},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6530877947807312},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6367546319961548},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6246345639228821},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6173669099807739},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5241090059280396},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5175358653068542},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.48712587356567383},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4168851971626282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3498491644859314}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.778427004814148},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6947417259216309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6719554662704468},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6530877947807312},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6367546319961548},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6246345639228821},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6173669099807739},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5241090059280396},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5175358653068542},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.48712587356567383},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4168851971626282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3498491644859314},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2971281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971281","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08979442.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:349d50a8a4fc40a88430a3b6e0d8841d","is_oa":true,"landing_page_url":"https://doaj.org/article/349d50a8a4fc40a88430a3b6e0d8841d","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 8, Pp 38517-38527 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2971281","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2971281","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08979442.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G7135360349","display_name":null,"funder_award_id":"2018YFC0114500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3005379796.pdf","grobid_xml":"https://content.openalex.org/works/W3005379796.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1523794535","https://openalex.org/W2000785208","https://openalex.org/W2017813339","https://openalex.org/W2047004048","https://openalex.org/W2064675550","https://openalex.org/W2079708868","https://openalex.org/W2096198395","https://openalex.org/W2101329867","https://openalex.org/W2103004421","https://openalex.org/W2120718661","https://openalex.org/W2126491616","https://openalex.org/W2138297714","https://openalex.org/W2160982674","https://openalex.org/W2161160262","https://openalex.org/W2167188325","https://openalex.org/W2168894214","https://openalex.org/W2253429366","https://openalex.org/W2287231805","https://openalex.org/W2290433232","https://openalex.org/W2294125144","https://openalex.org/W2311857205","https://openalex.org/W2319518956","https://openalex.org/W2511730936","https://openalex.org/W2517065464","https://openalex.org/W2611912209","https://openalex.org/W2620325446","https://openalex.org/W2763355946","https://openalex.org/W2767128594","https://openalex.org/W2780428230","https://openalex.org/W2781525129","https://openalex.org/W2794187429","https://openalex.org/W2797594039","https://openalex.org/W2886281300","https://openalex.org/W2887842669","https://openalex.org/W2910380368","https://openalex.org/W2910922831","https://openalex.org/W2951529591","https://openalex.org/W2963446712","https://openalex.org/W2971217324","https://openalex.org/W3104246147","https://openalex.org/W4238138698","https://openalex.org/W6684665197","https://openalex.org/W6697461968","https://openalex.org/W6698491756","https://openalex.org/W6733328719","https://openalex.org/W6750996985"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W3119773509","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4388405611","https://openalex.org/W4309346246"],"abstract_inverted_index":{"The":[0,158,201],"mutation":[1,33,213],"status":[2],"of":[3,25,45,106,162,210],"the":[4,23,86,117,138,141,163,171,182,211],"epidermal":[5],"growth":[6],"factor":[7],"receptor":[8],"(EGFR)":[9],"is":[10,81,100,113,204],"an":[11],"important":[12],"clinical":[13,58,121,165],"reference":[14],"indicator":[15],"for":[16,29,132,208],"lung":[17],"cancer":[18],"diagnosis":[19],"and":[20,49,65,92,122,126,155,174],"treatment.":[21],"However,":[22],"extraction":[24],"effective":[26],"discriminative":[27],"features":[28,46,56,59,68,105,125,154],"non-invasive":[30],"computer-aided":[31,133],"EGFR":[32,212],"prediction":[34],"still":[35],"poses":[36],"a":[37,98,111,128],"big":[38],"challenge.":[39],"In":[40,96],"this":[41,53],"paper,":[42],"multiple":[43,159],"types":[44,91,161],"are":[47,167],"designed":[48],"analyzed":[50],"to":[51,84,102,115,169,197,206],"address":[52],"problem.":[54],"These":[55],"include":[57],"based":[60],"on":[61],"prior":[62],"medical":[63],"knowledge":[64],"quantitative":[66,104],"image":[67,124],"extracted":[69],"by":[70],"convolutional":[71],"neural":[72],"networks":[73],"(CNN).":[74],"A":[75],"long":[76],"short-term":[77],"memory":[78],"(LSTM)":[79],"network":[80],"also":[82],"introduced":[83],"exploit":[85],"dependency":[87,118],"between":[88,119],"these":[89,120],"feature":[90,130,146,160,185,199],"then":[93],"fuse":[94],"them.":[95],"particular,":[97],"CNN":[99],"constructed":[101],"extract":[103],"computed-tomography":[107],"(CT)":[108],"images.":[109],"Furthermore,":[110],"LSTM":[112],"utilized":[114],"analyze":[116],"CT":[123],"generate":[127],"new":[129],"representation":[131,147,186],"diagnosis.":[134],"For":[135],"samples":[136],"from":[137,150],"same":[139],"category,":[140],"proposed":[142,172,202],"method":[143,203],"deal":[144],"with":[145],"variabilities":[148],"arising":[149],"interdependencies":[151],"in":[152],"multi-type":[153,183],"patient":[156],"specificity.":[157],"collected":[164],"data":[166],"used":[168],"assess":[170],"approach":[173],"other":[175],"relevant":[176],"algorithms.":[177],"Our":[178],"results":[179],"demonstrate":[180],"that":[181],"dependency-based":[184],"shows":[187],"superior":[188],"performance":[189],"(Accuracy":[190],"=":[191,194],"75%,":[192],"AUC":[193],"0.78)":[195],"compared":[196],"single-type":[198],"representations.":[200],"reliable":[205],"apply":[207],"diagnosing":[209],"status.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}