{"id":"https://openalex.org/W4391094765","doi":"https://doi.org/10.1109/bigdata59044.2023.10386194","title":"What is Hiding in Medicine\u2019s Dark Matter? Learning with Missing Data in Medical Practices","display_name":"What is Hiding in Medicine\u2019s Dark Matter? Learning with Missing Data in Medical Practices","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094765","doi":"https://doi.org/10.1109/bigdata59044.2023.10386194"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.06563","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073325171","display_name":"Neslihan S\u00fczen","orcid":null},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Neslihan Suzen","raw_affiliation_strings":["University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069472885","display_name":"Evgeny M. Mirkes","orcid":"https://orcid.org/0000-0003-1474-1734"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Evgeny M. Mirkes","raw_affiliation_strings":["University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066381614","display_name":"Damian Roland","orcid":"https://orcid.org/0000-0001-9334-5144"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]},{"id":"https://openalex.org/I2800281165","display_name":"Leicester Royal Infirmary","ror":"https://ror.org/03jkz2y73","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2800281165","https://openalex.org/I2802445252"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Damian Roland","raw_affiliation_strings":["University of Leicester,Leicester Royal Infirmary,Children’s Emergency Department,Leicester,UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester,Leicester Royal Infirmary,Children’s Emergency Department,Leicester,UK","institution_ids":["https://openalex.org/I2800281165","https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080704211","display_name":"Jeremy Levesley","orcid":"https://orcid.org/0000-0002-3509-0152"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jeremy Levesley","raw_affiliation_strings":["University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058069510","display_name":"Alexander N. Gorban","orcid":"https://orcid.org/0000-0001-6224-1430"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander N. Gorban","raw_affiliation_strings":["University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester,School of Computing and Mathematical Sciences,Leicester,UK","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073654128","display_name":"Tim Coats","orcid":"https://orcid.org/0000-0003-2736-2784"},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tim J. Coats","raw_affiliation_strings":["University of Leicester,Emergency Medicine Academic Group,Department of Cardiovascular Sciences,Leicester,UK","Department of Cardiovascular Sciences, Emergency Medicine Academic Group, University of Leicester, Leicester, UK"],"affiliations":[{"raw_affiliation_string":"University of Leicester,Emergency Medicine Academic Group,Department of Cardiovascular Sciences,Leicester,UK","institution_ids":["https://openalex.org/I153648349"]},{"raw_affiliation_string":"Department of Cardiovascular Sciences, Emergency Medicine Academic Group, University of Leicester, Leicester, UK","institution_ids":["https://openalex.org/I153648349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073325171"],"corresponding_institution_ids":["https://openalex.org/I153648349"],"apc_list":null,"apc_paid":null,"fwci":0.1777,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60621468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4979","last_page":"4986"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9609000086784363,"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/T10862","display_name":"AI in cancer detection","score":0.9609000086784363,"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/dark-matter","display_name":"Dark matter","score":0.6008332967758179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4899665415287018},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41413021087646484},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.2047877311706543},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15394312143325806}],"concepts":[{"id":"https://openalex.org/C159249277","wikidata":"https://www.wikidata.org/wiki/Q79925","display_name":"Dark matter","level":2,"score":0.6008332967758179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4899665415287018},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41413021087646484},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.2047877311706543},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15394312143325806}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386194","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2402.06563","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.06563","pdf_url":"https://arxiv.org/pdf/2402.06563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.06563","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.06563","pdf_url":"https://arxiv.org/pdf/2402.06563","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391094765.pdf","grobid_xml":"https://content.openalex.org/works/W4391094765.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W998462359","https://openalex.org/W2072604363","https://openalex.org/W2339803053","https://openalex.org/W2440376879","https://openalex.org/W2478370328","https://openalex.org/W3003456313","https://openalex.org/W3015562773","https://openalex.org/W3170657538","https://openalex.org/W4230667423","https://openalex.org/W4238455896","https://openalex.org/W4238711707","https://openalex.org/W4242841123","https://openalex.org/W4311472757","https://openalex.org/W6625993985"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Electronic":[0],"patient":[1],"records":[2],"(EPRs)":[3],"produce":[4],"a":[5,87,204],"wealth":[6],"of":[7,24,56,63,109,207],"data":[8,19,26,44,58,78,84,92,95,111,133,174],"but":[9],"contain":[10],"significant":[11],"missing":[12,18,57,77,132,158,173],"information.":[13],"Understanding":[14],"and":[15,28,38,54,74,79,93,118,139,168,179,188,216],"handling":[16],"this":[17],"is":[20,198],"an":[21,125],"important":[22],"part":[23],"clinical":[25,64,83,99,208],"analysis":[27,37],"if":[29],"left":[30],"unaddressed":[31],"could":[32],"result":[33],"in":[34,36,40],"bias":[35],"distortion":[39],"critical":[41],"conclusions.":[42],"Missing":[43],"may":[45],"be":[46,137],"linked":[47,143],"to":[48,114,124,136,144],"health":[49,145],"care":[50,146],"professional":[51,147],"practice":[52,148],"patterns":[53],"imputation":[55,85,175,180,201],"can":[59],"increase":[60],"the":[61,76,94,107,183,195,199,212],"validity":[62],"decisions.":[65],"This":[66],"study":[67,108],"focuses":[68],"on":[69,121],"statistical":[70],"approaches":[71],"for":[72,101,160],"understanding":[73],"interpreting":[75],"machine":[80],"learning":[81],"based":[82,172],"using":[86],"single":[88],"centre\u2019s":[89],"paediatric":[90],"emergency":[91],"from":[96],"UK\u2019s":[97],"largest":[98],"audit":[100],"traumatic":[102],"injury":[103],"database":[104],"(TARN).":[105],"In":[106],"56,961":[110],"points":[112],"related":[113],"initial":[115],"vital":[116],"signs":[117],"observations":[119],"taken":[120],"children":[122],"presenting":[123],"Emergency":[126],"Department,":[127],"we":[128],"have":[129,151,192],"shown":[130],"that":[131,194],"are":[134,142,177,186],"likely":[135],"non-random":[138],"how":[140],"these":[141],"patterns.":[149],"We":[150,191],"then":[152],"examined":[153],"79":[154],"TARN":[155],"fields":[156],"with":[157],"values":[159],"5,791":[161],"trauma":[162],"cases.":[163],"Singular":[164],"Value":[165],"Decomposition":[166],"(SVD)":[167],"k-Nearest":[169],"Neighbour":[170],"(kNN)":[171],"methods":[176],"used":[178],"results":[181],"against":[182],"original":[184],"dataset":[185],"compared":[187],"statistically":[189],"tested.":[190],"concluded":[193],"INN":[196],"imputer":[197],"best":[200],"which":[202],"indicates":[203],"usual":[205],"pattern":[206],"decision":[209],"making:":[210],"find":[211],"most":[213],"similar":[214],"patients":[215],"take":[217],"their":[218],"attributes":[219],"as":[220],"imputation.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2024-01-23T00:00:00"}