{"id":"https://openalex.org/W4391582717","doi":"https://doi.org/10.1109/jbhi.2024.3360002","title":"Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning","display_name":"Uncertainty-Aware Health Diagnostics via Class-Balanced Evidential Deep Learning","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391582717","doi":"https://doi.org/10.1109/jbhi.2024.3360002","pmid":"https://pubmed.ncbi.nlm.nih.gov/38319779"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3360002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3360002","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","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.repository.cam.ac.uk/bitstreams/b25db9ba-9012-4be5-bf4f-6238b2b7629e/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040747504","display_name":"Xia Tong","orcid":"https://orcid.org/0000-0002-6994-6318"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Xia","raw_affiliation_strings":["Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6994-6318","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071116593","display_name":"Ting Dang","orcid":"https://orcid.org/0000-0003-3806-1493"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU","FI","GB"],"is_corresponding":false,"raw_author_name":"Ting Dang","raw_affiliation_strings":["Nokia Bell Labs (Cambridge), Cambridge, U.K","University of New South Wales, Australia","Department of Computer Science and Technology, University of Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0003-3806-1493","affiliations":[{"raw_affiliation_string":"Nokia Bell Labs (Cambridge), Cambridge, U.K","institution_ids":["https://openalex.org/I2738502077"]},{"raw_affiliation_string":"University of New South Wales, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"Department of Computer Science and Technology, University of Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069921704","display_name":"Jing Han","orcid":"https://orcid.org/0000-0001-5776-6849"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jing Han","raw_affiliation_strings":["Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5776-6849","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054150857","display_name":"Lorena Qendro","orcid":"https://orcid.org/0000-0002-3391-1658"},"institutions":[{"id":"https://openalex.org/I2738502077","display_name":"Nokia (Finland)","ror":"https://ror.org/04pkc8m17","country_code":"FI","type":"company","lineage":["https://openalex.org/I2738502077"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Lorena Qendro","raw_affiliation_strings":["Nokia Bell Labs (Cambridge), Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-3391-1658","affiliations":[{"raw_affiliation_string":"Nokia Bell Labs (Cambridge), Cambridge, U.K","institution_ids":["https://openalex.org/I2738502077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010623957","display_name":"Cecilia Mascolo","orcid":"https://orcid.org/0000-0001-9614-4380"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Cecilia Mascolo","raw_affiliation_strings":["Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0001-9614-4380","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8882,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.9386401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"11","first_page":"6417","last_page":"6428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9639999866485596,"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":0.9639999866485596,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9298999905586243,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9253000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7124909162521362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022693157196045},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7011378407478333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6462289094924927},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6325772404670715},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6214953660964966},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.561844527721405},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.5569015741348267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4258519113063812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124909162521362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022693157196045},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7011378407478333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6462289094924927},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6325772404670715},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6214953660964966},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.561844527721405},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.5569015741348267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4258519113063812},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035501","descriptor_name":"Uncertainty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2024.3360002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3360002","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:38319779","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38319779","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},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/363824","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/363824","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/b25db9ba-9012-4be5-bf4f-6238b2b7629e/download","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.17863/cam.105727","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.105727","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:www.repository.cam.ac.uk:1810/363824","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/363824","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/b25db9ba-9012-4be5-bf4f-6238b2b7629e/download","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391582717.pdf"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W2104933073","https://openalex.org/W2106479238","https://openalex.org/W2119168155","https://openalex.org/W2148143831","https://openalex.org/W2225156818","https://openalex.org/W2230801863","https://openalex.org/W2334028018","https://openalex.org/W2767087747","https://openalex.org/W2787894218","https://openalex.org/W2794825826","https://openalex.org/W2807414627","https://openalex.org/W2910187721","https://openalex.org/W2912223386","https://openalex.org/W2936503027","https://openalex.org/W2938873237","https://openalex.org/W2951965145","https://openalex.org/W2963351448","https://openalex.org/W2963691377","https://openalex.org/W2965102627","https://openalex.org/W2985778816","https://openalex.org/W3034033080","https://openalex.org/W3034217686","https://openalex.org/W3085574514","https://openalex.org/W3095616795","https://openalex.org/W3118929067","https://openalex.org/W3127573699","https://openalex.org/W3128681511","https://openalex.org/W3183048323","https://openalex.org/W3183398589","https://openalex.org/W3190348435","https://openalex.org/W3196633546","https://openalex.org/W3202201423","https://openalex.org/W3204760418","https://openalex.org/W4210374324","https://openalex.org/W4221159532","https://openalex.org/W4244630340","https://openalex.org/W4283723257","https://openalex.org/W4295934669","https://openalex.org/W4296121252","https://openalex.org/W4309563912","https://openalex.org/W4310263662","https://openalex.org/W4323323529","https://openalex.org/W4366352743","https://openalex.org/W4382318257","https://openalex.org/W4384561684","https://openalex.org/W6684488266","https://openalex.org/W6728622933","https://openalex.org/W6730042731","https://openalex.org/W6748865747","https://openalex.org/W6752745768","https://openalex.org/W6754205108","https://openalex.org/W6763087592","https://openalex.org/W6774096934","https://openalex.org/W6774774494","https://openalex.org/W6779743692","https://openalex.org/W6784534817","https://openalex.org/W6796806558","https://openalex.org/W6802185591","https://openalex.org/W6811069479","https://openalex.org/W6862765046"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"Uncertainty":[0],"quantification":[1,31,75,158],"is":[2,42],"critical":[3],"for":[4,19,65,121,171],"ensuring":[5],"the":[6,16,24,35,72,87,101,116,122,144,154,177],"safety":[7],"of":[8,26,38,77,124,135,148,156,179],"deep":[9,55,79,184],"learning-enabled":[10,185],"health":[11,66,141,186],"diagnostics,":[12],"as":[13],"it":[14],"helps":[15],"model":[17,102],"account":[18],"unknown":[20],"factors":[21],"and":[22,61,110,137,146,182],"reduces":[23],"risk":[25],"misdiagnosis.":[27],"However,":[28],"existing":[29],"uncertainty":[30,63,74,125,157,169],"studies":[32,161],"often":[33],"overlook":[34],"significant":[36],"issue":[37],"class":[39,91],"imbalance,":[40],"which":[41],"common":[43],"in":[44],"medical":[45],"data.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,94,174],"propose":[51],"a":[52,96,111],"class-balanced":[53],"evidential":[54,78],"learning":[56,80],"framework":[57,70],"to":[58,85,103,114,162,176],"achieve":[59],"fair":[60],"reliable":[62,181],"estimates":[64],"diagnostic":[67,187],"models.":[68],"This":[69],"advances":[71],"state-of-the-art":[73],"method":[76],"with":[81,132],"two":[82],"novel":[83],"mechanisms":[84],"address":[86],"challenges":[88],"posed":[89],"by":[90],"imbalance.":[92],"Specifically,":[93],"introduce":[95],"pooling":[97],"loss":[98],"that":[99,119],"enables":[100],"learn":[104],"less":[105],"biased":[106],"evidence":[107],"among":[108],"classes":[109],"learnable":[112],"prior":[113],"regularize":[115],"posterior":[117],"distribution":[118],"accounts":[120],"quality":[123],"estimates.":[126],"Extensive":[127],"experiments":[128],"using":[129],"benchmark":[130],"data":[131,142],"varying":[133],"degrees":[134],"imbalance":[136],"various":[138],"naturally":[139],"imbalanced":[140],"demonstrate":[143],"effectiveness":[145],"superiority":[147],"our":[149],"method.":[150],"Our":[151],"work":[152],"pushes":[153],"envelope":[155],"from":[159],"theoretical":[160],"realistic":[163],"healthcare":[164],"application":[165],"scenarios.":[166],"By":[167],"enhancing":[168],"estimation":[170],"class-imbalanced":[172],"data,":[173],"contribute":[175],"development":[178],"more":[180],"practical":[183],"systems.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
