{"id":"https://openalex.org/W4396853248","doi":"https://doi.org/10.1109/jbhi.2024.3397955","title":"Tab-Cox: An Interpretable Deep Survival Analysis Model for Patients With Nasopharyngeal Carcinoma Based on TabNet","display_name":"Tab-Cox: An Interpretable Deep Survival Analysis Model for Patients With Nasopharyngeal Carcinoma Based on TabNet","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4396853248","doi":"https://doi.org/10.1109/jbhi.2024.3397955","pmid":"https://pubmed.ncbi.nlm.nih.gov/38739502"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3397955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3397955","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5068762122","display_name":"Huamei Qi","orcid":"https://orcid.org/0000-0002-5264-5703"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huamei Qi","raw_affiliation_strings":["School of Electronic Information, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5264-5703","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112999981","display_name":"Yuxuan Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Hu","raw_affiliation_strings":["School of Electronic Information, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004607820","display_name":"Ruohao Fan","orcid":"https://orcid.org/0000-0002-7777-7841"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210159865","display_name":"Xiangya Hospital Central South University","ror":"https://ror.org/05c1yfj14","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210159865"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruohao Fan","raw_affiliation_strings":["Xiangya Hospital, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-7777-7841","affiliations":[{"raw_affiliation_string":"Xiangya Hospital, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479","https://openalex.org/I4210159865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085608332","display_name":"Lei Deng","orcid":"https://orcid.org/0000-0003-2869-1619"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Deng","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2869-1619","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1646,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92316263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"4937","last_page":"4950"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9934999942779541,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"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/interpretability","display_name":"Interpretability","score":0.9864462614059448},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.7193021774291992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5937537550926208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5569538474082947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5373574495315552},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.48615095019340515},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.456976979970932},{"id":"https://openalex.org/keywords/nasopharyngeal-carcinoma","display_name":"Nasopharyngeal carcinoma","score":0.44982782006263733},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44942590594291687},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3745737671852112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.365469753742218},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1799112856388092},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10185903310775757},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.09180638194084167}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9864462614059448},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.7193021774291992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5937537550926208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5569538474082947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5373574495315552},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.48615095019340515},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.456976979970932},{"id":"https://openalex.org/C2778997737","wikidata":"https://www.wikidata.org/wiki/Q1693598","display_name":"Nasopharyngeal carcinoma","level":3,"score":0.44982782006263733},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44942590594291687},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3745737671852112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.365469753742218},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1799112856388092},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10185903310775757},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.09180638194084167}],"mesh":[{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000077274","descriptor_name":"Nasopharyngeal Carcinoma","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D009303","descriptor_name":"Nasopharyngeal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3397955","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3397955","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38739502","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38739502","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G1852630486","display_name":null,"funder_award_id":"2022JJ30755","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G2008773563","display_name":null,"funder_award_id":"62272490","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5299854802","display_name":null,"funder_award_id":"U23A20321","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1952626447","https://openalex.org/W1986546598","https://openalex.org/W1988419318","https://openalex.org/W1995071981","https://openalex.org/W2000703258","https://openalex.org/W2000813009","https://openalex.org/W2052825782","https://openalex.org/W2084139018","https://openalex.org/W2270370899","https://openalex.org/W2280468452","https://openalex.org/W2329364420","https://openalex.org/W2339612083","https://openalex.org/W2464785945","https://openalex.org/W2593386964","https://openalex.org/W2608448049","https://openalex.org/W2738280447","https://openalex.org/W2745940724","https://openalex.org/W2753919178","https://openalex.org/W2782364997","https://openalex.org/W2783134495","https://openalex.org/W2784499877","https://openalex.org/W2789172526","https://openalex.org/W2797883881","https://openalex.org/W2798890825","https://openalex.org/W2888487581","https://openalex.org/W2908510526","https://openalex.org/W2950451304","https://openalex.org/W2950852589","https://openalex.org/W2958089299","https://openalex.org/W2964054038","https://openalex.org/W2982257478","https://openalex.org/W3098949126","https://openalex.org/W3112123599","https://openalex.org/W3113087640","https://openalex.org/W3137559700","https://openalex.org/W3137897742","https://openalex.org/W3139511935","https://openalex.org/W3144015606","https://openalex.org/W3147894994","https://openalex.org/W3164101172","https://openalex.org/W3174086521","https://openalex.org/W3185354749","https://openalex.org/W3202428668","https://openalex.org/W3215408688","https://openalex.org/W3216660278","https://openalex.org/W4283816523","https://openalex.org/W4318541705","https://openalex.org/W4383873020","https://openalex.org/W4385245566","https://openalex.org/W4387948625","https://openalex.org/W6693959122","https://openalex.org/W6719736774","https://openalex.org/W6747288244","https://openalex.org/W6757817989","https://openalex.org/W6792198587","https://openalex.org/W6803804071","https://openalex.org/W6804165742"],"related_works":["https://openalex.org/W2797301068","https://openalex.org/W2010631330","https://openalex.org/W2006470775","https://openalex.org/W2581226876","https://openalex.org/W4225134093","https://openalex.org/W4380269519","https://openalex.org/W3136232645","https://openalex.org/W4380448775","https://openalex.org/W1554732404","https://openalex.org/W2026784993"],"abstract_inverted_index":{"The":[0,96,136,159],"nutritional":[1],"status":[2],"of":[3,13,44,58,91,141,194,209],"cancer":[4],"patients":[5,92,133],"is":[6,83],"closely":[7],"associated":[8],"with":[9,21,50,93,153,198],"the":[10,14,42,56,59,88,118,127,139,142,163,167,176,184,192,195,199,205],"clinical":[11],"progression":[12],"disease.":[15],"A":[16],"survival":[17,70,89,122,157],"analysis":[18,71,182],"model":[19,72,82,97,119,143,165,197,202],"combined":[20],"a":[22,68,179],"neural":[23,45],"network":[24],"can":[25,54,216],"predict":[26,87],"future":[27],"disease":[28,114],"trends":[29],"in":[30,38,151,219],"patients,":[31],"facilitating":[32],"early":[33],"prevention":[34],"and":[35,47,78,134,190,203,207],"assisting":[36],"physicians":[37],"making":[39,126],"diagnoses.":[40],"However,":[41],"complexity":[43],"networks":[46],"their":[48],"incompatibility":[49],"medical":[51],"tabular":[52],"data":[53],"reduce":[55],"interpretability":[57,181,193],"model.":[60,187],"To":[61],"address":[62],"this":[63],"issue,":[64],"thr":[65],"paper":[66,137,177],"propose":[67],"novel":[69],"called":[73],"Tab-Cox,":[74],"which":[75],"combines":[76],"TabNet":[77],"Cox":[79,186,201],"models.":[80,158],"This":[81,212],"specifically":[84],"designed":[85],"to":[86,103,226],"outcomes":[90],"nasopharyngeal":[94],"carcinoma.":[95],"utilizes":[98],"TabNet's":[99],"sequential":[100],"attention":[101],"mechanism":[102],"extract":[104],"more":[105,129],"interpretable":[106,110],"features,":[107],"providing":[108],"an":[109],"method":[111],"for":[112,131],"identifying":[113,220],"risk":[115,221],"factors.":[116],"Consequently,":[117],"ensures":[120],"accurate":[121],"prediction":[123],"while":[124],"also":[125],"results":[128,160],"comprehensible":[130],"both":[132],"doctors.":[135],"tested":[138],"efficacy":[140],"by":[144],"conducting":[145],"experiments":[146],"on":[147],"various":[148],"diverse":[149],"datasets":[150],"comparison":[152],"other":[154],"commonly":[155],"used":[156],"showed":[161],"that":[162,214,223],"proposed":[164],"delivered":[166],"highest":[168],"or":[169],"second-highest":[170],"accuracy":[171],"across":[172],"all":[173],"datasets.":[174],"Furthermore,":[175],"conducted":[178],"comparative":[180],"against":[183],"classical":[185,200],"In":[188],"addition":[189],"compare":[191],"Tab-Cox":[196,215],"discuss":[204],"advantages":[206],"disadvantages":[208],"its":[210],"interpretability.":[211],"demonstrates":[213],"assist":[217],"doctors":[218],"factors":[222],"are":[224],"challenging":[225],"capture":[227],"using":[228],"artificial":[229],"methods.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
