{"id":"https://openalex.org/W2889076851","doi":"https://doi.org/10.3233/978-1-61499-858-7-116","title":"Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model","display_name":"Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2889076851","doi":"https://doi.org/10.3233/978-1-61499-858-7-116","mag":"2889076851","pmid":"https://pubmed.ncbi.nlm.nih.gov/29726427"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-858-7-116","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-858-7-116","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"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/A5032560506","display_name":"Stefanie Jauk","orcid":"https://orcid.org/0000-0003-1287-594X"},"institutions":[{"id":"https://openalex.org/I4210128031","display_name":"Center For Biomarker Research In Medicine","ror":"https://ror.org/031gwf224","country_code":"AT","type":"nonprofit","lineage":["https://openalex.org/I4210128031"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Jauk Stefanie","raw_affiliation_strings":["CBmed, Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CBmed, Graz, Austria","institution_ids":["https://openalex.org/I4210128031"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064589865","display_name":"Diether Kramer","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111531","display_name":"Krankenhaus der Elisabethinen","ror":"https://ror.org/01z5xma55","country_code":"AT","type":"healthcare","lineage":["https://openalex.org/I4210111531"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Kramer Diether","raw_affiliation_strings":["Steierm\u00e4rkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Steierm\u00e4rkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria","institution_ids":["https://openalex.org/I4210111531"]}]},{"author_position":"last","author":{"id":null,"display_name":"Leodolter Werner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111531","display_name":"Krankenhaus der Elisabethinen","ror":"https://ror.org/01z5xma55","country_code":"AT","type":"healthcare","lineage":["https://openalex.org/I4210111531"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Leodolter Werner","raw_affiliation_strings":["Steierm\u00e4rkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Steierm\u00e4rkische Krankenanstaltengesellschaft m.b.H. (KAGes), Graz, Austria","institution_ids":["https://openalex.org/I4210111531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0855,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81417699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"248","issue":null,"first_page":"116","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.4584999978542328,"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":0.4584999978542328,"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/T10136","display_name":"Statistical Methods and Inference","score":0.06719999760389328,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.04259999841451645,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7452470064163208},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6583645343780518},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"Body mass index","score":0.48332858085632324},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4400690197944641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4301571846008301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37179237604141235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34235721826553345},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12766101956367493},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.100370854139328},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0973484218120575},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.059808939695358276}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7452470064163208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6583645343780518},{"id":"https://openalex.org/C2780221984","wikidata":"https://www.wikidata.org/wiki/Q131191","display_name":"Body mass index","level":2,"score":0.48332858085632324},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4400690197944641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4301571846008301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37179237604141235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34235721826553345},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12766101956367493},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.100370854139328},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0973484218120575},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.059808939695358276}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","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:10.3233/978-1-61499-858-7-116","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-858-7-116","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29726427","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29726427","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W3119637569","https://openalex.org/W2989589450","https://openalex.org/W2405773734","https://openalex.org/W3123325766","https://openalex.org/W2791189374","https://openalex.org/W4403319084","https://openalex.org/W2374234271","https://openalex.org/W3208043357"],"abstract_inverted_index":{"BACKGROUND:":[0],"A":[1],"challenge":[2],"of":[3,33,53,69,77,103,120,133,173],"using":[4,106],"electronic":[5],"health":[6],"records":[7],"for":[8,22,50,127,144,153],"secondary":[9,174],"analyses":[10],"is":[11,18,36],"data":[12,39,60,72,87,122,160],"quality.":[13,61],"Body":[14],"mass":[15],"index":[16],"(BMI)":[17],"an":[19,51],"important":[20],"predictor":[21],"various":[23],"diseases":[24],"but":[25],"often":[26],"not":[27,169],"documented":[28],"properly.":[29],"OBJECTIVES:":[30],"The":[31],"aim":[32],"our":[34],"study":[35],"to":[37,45,58,65,165],"perform":[38],"cleansing":[40,88],"on":[41,74,82,89],"BMI":[42,90,121,155],"values":[43,55,105],"and":[44,97,138],"find":[46],"the":[47,67,75,107,131],"best":[48,143],"method":[49],"imputation":[52],"missing":[54],"in":[56,71,100,150],"order":[57],"increase":[59],"Further,":[62],"we":[63,92,116],"want":[64],"assess":[66],"effect":[68],"changes":[70,149],"quality":[73,161],"performance":[76,152,172],"a":[78,113,124,128],"prediction":[79],"model":[80,129,151],"based":[81],"machine":[83,94],"learning.":[84],"METHODS:":[85],"After":[86],"data,":[91],"compared":[93],"learning":[95],"methods":[96,99],"statistical":[98],"their":[101],"accuracy":[102],"imputed":[104],"root":[108],"mean":[109],"square":[110],"error.":[111],"In":[112],"second":[114],"step,":[115],"used":[117],"three":[118],"variations":[119],"as":[123],"training":[125],"set":[126],"predicting":[130],"occurrence":[132],"delirium.":[134],"RESULTS:":[135],"Neural":[136],"network":[137],"linear":[139],"regression":[140],"models":[141],"performed":[142],"imputation.":[145],"There":[146],"were":[147],"no":[148],"different":[154],"input":[156],"data.":[157],"CONCLUSION:":[158],"Although":[159],"issues":[162],"may":[163],"lead":[164],"biases,":[166],"it":[167],"does":[168],"always":[170],"affect":[171],"analyses.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
