{"id":"https://openalex.org/W2991046651","doi":"https://doi.org/10.1109/ichi.2019.8904624","title":"Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data","display_name":"Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2991046651","doi":"https://doi.org/10.1109/ichi.2019.8904624","mag":"2991046651"},"language":"en","primary_location":{"id":"doi:10.1109/ichi.2019.8904624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5046654136","display_name":"Sebastian Daberdaku","orcid":"https://orcid.org/0000-0003-0544-1465"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastian Daberdaku","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Via Gradenigo 6/A, 35131, Padova,PD,Italy","Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131, Padova, PD, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Via Gradenigo 6/A, 35131, Padova,PD,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131, Padova, PD, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039343044","display_name":"Erica Tavazzi","orcid":"https://orcid.org/0000-0001-6188-6413"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Erica Tavazzi","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Via Gradenigo 6/A, 35131, Padova,PD,Italy","Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131, Padova, PD, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Via Gradenigo 6/A, 35131, Padova,PD,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131, Padova, PD, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077821068","display_name":"Barbara Di Camillo","orcid":"https://orcid.org/0000-0001-8415-4688"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Barbara Di Camillo","raw_affiliation_strings":["University of Padova,Department of Information Engineering,Via Gradenigo 6/A, 35131, Padova,PD,Italy","Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131, Padova, PD, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Department of Information Engineering,Via Gradenigo 6/A, 35131, Padova,PD,Italy","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131, Padova, PD, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":null,"apc_paid":null,"fwci":1.8872,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85669782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9936000108718872,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9936000108718872,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9912999868392944,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9890999794006348,"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/missing-data","display_name":"Missing data","score":0.8684511780738831},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.837302029132843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.684319257736206},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6060784459114075},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5238199830055237},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4923657178878784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3674788475036621},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35413113236427307}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8684511780738831},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.837302029132843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.684319257736206},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6060784459114075},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5238199830055237},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4923657178878784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3674788475036621},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35413113236427307},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ichi.2019.8904624","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichi.2019.8904624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Healthcare Informatics (ICHI)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3315984","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3315984","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2147710851","https://openalex.org/W2162772535","https://openalex.org/W2162800060","https://openalex.org/W2396881363","https://openalex.org/W2496114304","https://openalex.org/W2771817472"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"when":[3],"working":[4],"with":[5],"real-world":[6],"data":[7,21,36],"is":[8],"that":[9],"most":[10],"datasets":[11],"contain":[12],"missing":[13,35],"values,":[14],"especially":[15],"in":[16],"the":[17,46,64],"clinical":[18],"domain.":[19],"Many":[20],"mining":[22],"and":[23,30,45,57],"machine":[24],"learning":[25],"methods":[26],"require":[27],"complete":[28,39],"datasets,":[29],"simple":[31],"techniques":[32],"for":[33],"handling":[34],"(such":[37],"as":[38],"case":[40],"analysis,":[41],"overall":[42],"mean":[43],"imputation,":[44],"missing-indicator":[47],"method)":[48],"can":[49],"be":[50],"an":[51],"inappropriate":[52],"choice":[53],"under":[54],"many":[55],"circumstances":[56],"may":[58],"lead":[59],"to":[60],"biased":[61],"estimates":[62],"of":[63],"investigated":[65],"associations":[66],"[1].":[67]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}