{"id":"https://openalex.org/W3077205433","doi":"https://doi.org/10.1186/s12911-020-01166-2","title":"Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach","display_name":"Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3077205433","doi":"https://doi.org/10.1186/s12911-020-01166-2","mag":"3077205433","pmid":"https://pubmed.ncbi.nlm.nih.gov/32819346"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-020-01166-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-020-01166-2","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-01166-2","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-01166-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":["Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","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":["Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066713645","display_name":"Rosario Vasta","orcid":"https://orcid.org/0000-0002-0393-4736"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rosario Vasta","raw_affiliation_strings":["Department of Neurosciences \"Rita Levi Montalcini\", University of Turin, Via Cherasco 15, Turin, 10124, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosciences \"Rita Levi Montalcini\", University of Turin, Via Cherasco 15, Turin, 10124, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049549975","display_name":"Andrea Calvo","orcid":"https://orcid.org/0000-0002-5122-7243"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Calvo","raw_affiliation_strings":["Department of Neurosciences \"Rita Levi Montalcini\", University of Turin, Via Cherasco 15, Turin, 10124, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosciences \"Rita Levi Montalcini\", University of Turin, Via Cherasco 15, Turin, 10124, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090628289","display_name":"Adriano Chi\u00f2","orcid":"https://orcid.org/0000-0001-9579-5341"},"institutions":[{"id":"https://openalex.org/I55143463","display_name":"University of Turin","ror":"https://ror.org/048tbm396","country_code":"IT","type":"education","lineage":["https://openalex.org/I55143463"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Adriano Chi\u00f2","raw_affiliation_strings":["Department of Neurosciences \"Rita Levi Montalcini\", University of Turin, Via Cherasco 15, Turin, 10124, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosciences \"Rita Levi Montalcini\", University of Turin, Via Cherasco 15, Turin, 10124, Italy","institution_ids":["https://openalex.org/I55143463"]}]},{"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":true,"raw_author_name":"Barbara Di Camillo","raw_affiliation_strings":["Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy. barbara.dicamillo@unipd.it","Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy"],"raw_orcid":"https://orcid.org/0000-0001-8415-4688","affiliations":[{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy. barbara.dicamillo@unipd.it","institution_ids":["https://openalex.org/I138689650"]},{"raw_affiliation_string":"Department of Information Engineering, University of Padua, Via Gradenigo 6/A, Padua, 35131, Italy","institution_ids":["https://openalex.org/I138689650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077821068"],"corresponding_institution_ids":["https://openalex.org/I138689650"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":1.0934,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.81718328,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"20","issue":"S5","first_page":"174","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10855","display_name":"Amyotrophic Lateral Sclerosis Research","score":0.6848999857902527,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10855","display_name":"Amyotrophic Lateral Sclerosis Research","score":0.6848999857902527,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.04170000180602074,"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/T10137","display_name":"Multiple Sclerosis Research Studies","score":0.021700000390410423,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/missing-data","display_name":"Missing data","score":0.7477654814720154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935339570045471},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6106387376785278},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.5608101487159729},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.5177909135818481},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48518994450569153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3723839521408081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37237727642059326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2252069115638733},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10995897650718689}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7477654814720154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935339570045471},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6106387376785278},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.5608101487159729},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.5177909135818481},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48518994450569153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3723839521408081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37237727642059326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2252069115638733},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10995897650718689}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":true},{"descriptor_ui":"D000690","descriptor_name":"Amyotrophic Lateral Sclerosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000690","descriptor_name":"Amyotrophic Lateral Sclerosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000690","descriptor_name":"Amyotrophic Lateral Sclerosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000690","descriptor_name":"Amyotrophic Lateral Sclerosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D004194","descriptor_name":"Disease","qualifier_ui":"Q000145","qualifier_name":"classification","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":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1186/s12911-020-01166-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-020-01166-2","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-01166-2","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:32819346","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32819346","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":"BMC medical informatics and decision making","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7439551","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7439551","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f588f332ac234b528a04850cf610962a","is_oa":true,"landing_page_url":"https://doaj.org/article/f588f332ac234b528a04850cf610962a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 20, Iss S5, Pp 1-23 (2020)","raw_type":"article"},{"id":"pmh:oai:iris.unito.it:2318/1776186","is_oa":true,"landing_page_url":"http://hdl.handle.net/2318/1776186","pdf_url":null,"source":{"id":"https://openalex.org/S4306400637","display_name":"Institutional Research Information System University of Turin (University of Turin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I55143463","host_organization_name":"University of Turin","host_organization_lineage":["https://openalex.org/I55143463"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:www.research.unipd.it:11577/3347295","is_oa":true,"landing_page_url":"http://hdl.handle.net/11577/3347295","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s12911-020-01166-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-020-01166-2","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-01166-2","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1183686639","display_name":null,"funder_award_id":"RF-2016- 02362405","funder_id":"https://openalex.org/F4320321781","funder_display_name":"Ministero della Salute"},{"id":"https://openalex.org/G1486038497","display_name":null,"funder_award_id":"LAW 232/2016","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G2312359103","display_name":null,"funder_award_id":"2017SNW5MB","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G3178720459","display_name":null,"funder_award_id":"2017SNW5MB","funder_id":"https://openalex.org/F4320321781","funder_display_name":"Ministero della Salute"},{"id":"https://openalex.org/G5064979165","display_name":null,"funder_award_id":"C94I19001730001","funder_id":"https://openalex.org/F4320321966","funder_display_name":"Universit\u00e0 degli Studi di Padova"},{"id":"https://openalex.org/G5329322851","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320317295","funder_display_name":"Dipartimenti di Eccellenza"},{"id":"https://openalex.org/G5417130124","display_name":null,"funder_award_id":"232/2016","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G8254916772","display_name":null,"funder_award_id":"Law 232/2016","funder_id":"https://openalex.org/F4320317295","funder_display_name":"Dipartimenti di Eccellenza"}],"funders":[{"id":"https://openalex.org/F4320317295","display_name":"Dipartimenti di Eccellenza","ror":null},{"id":"https://openalex.org/F4320321781","display_name":"Ministero della Salute","ror":"https://ror.org/00789fa95"},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320321966","display_name":"Universit\u00e0 degli Studi di Padova","ror":"https://ror.org/00240q980"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3077205433.pdf","grobid_xml":"https://content.openalex.org/works/W3077205433.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W349770100","https://openalex.org/W1502922572","https://openalex.org/W1520129216","https://openalex.org/W1822348759","https://openalex.org/W1919216911","https://openalex.org/W1980074688","https://openalex.org/W1981276685","https://openalex.org/W2020279151","https://openalex.org/W2029678309","https://openalex.org/W2032026767","https://openalex.org/W2032065177","https://openalex.org/W2064186732","https://openalex.org/W2084413241","https://openalex.org/W2085508623","https://openalex.org/W2108381339","https://openalex.org/W2113559481","https://openalex.org/W2115098571","https://openalex.org/W2116814040","https://openalex.org/W2124885415","https://openalex.org/W2133305315","https://openalex.org/W2141019052","https://openalex.org/W2142178163","https://openalex.org/W2162313689","https://openalex.org/W2162772535","https://openalex.org/W2166561686","https://openalex.org/W2187059374","https://openalex.org/W2238461883","https://openalex.org/W2294550615","https://openalex.org/W2496114304","https://openalex.org/W2513203369","https://openalex.org/W2516038852","https://openalex.org/W2552480641","https://openalex.org/W2559655401","https://openalex.org/W2562568662","https://openalex.org/W2594396441","https://openalex.org/W2606315231","https://openalex.org/W2735544048","https://openalex.org/W2741416490","https://openalex.org/W2771817472","https://openalex.org/W2775056555","https://openalex.org/W2791458756","https://openalex.org/W2795490756","https://openalex.org/W2803287810","https://openalex.org/W2803805253","https://openalex.org/W2805089815","https://openalex.org/W2889063507","https://openalex.org/W2890686416","https://openalex.org/W2913699606","https://openalex.org/W2916933545","https://openalex.org/W2949211189","https://openalex.org/W2953532875","https://openalex.org/W2963360736","https://openalex.org/W3006005800","https://openalex.org/W4210998205","https://openalex.org/W4211041983","https://openalex.org/W4235907943","https://openalex.org/W4237606974","https://openalex.org/W4252684946","https://openalex.org/W4301225961","https://openalex.org/W6630713560"],"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":{"BACKGROUND:":[0],"Clinical":[1],"registers":[2],"constitute":[3],"an":[4,61,220,299],"invaluable":[5],"resource":[6],"in":[7,52,81,148,153,234,293],"the":[8,45,53,75,90,98,132,158,161,164,170,182,188,192,194,202,208,215,240,247,255,262,266,270,307,310,314,319,327],"medical":[9],"data-driven":[10],"decision":[11],"making":[12],"context.":[13],"Accurate":[14],"machine":[15,333],"learning":[16,334],"and":[17,33,88,200,309,316],"data":[18,23,121,256,267,277,315],"mining":[19],"approaches":[20,43],"on":[21,65,92,219,254,265],"these":[22],"can":[24,330],"lead":[25],"to":[26,73,122,155],"faster":[27],"diagnosis,":[28],"definition":[29],"of":[30,49,78,84,105,108,140,169,186,191,196,229,242,249,275,313],"tailored":[31],"interventions,":[32],"improved":[34],"outcome":[35],"prediction.":[36],"A":[37],"typical":[38],"issue":[39],"when":[40,285],"implementing":[41],"such":[42],"is":[44,144,278],"almost":[46],"unavoidable":[47],"presence":[48,77,195],"missing":[50,79,120,198,276],"values":[51,199],"collected":[54,100,134],"data.":[55],"In":[56],"this":[57,294],"work,":[58],"we":[59,125],"propose":[60],"imputation":[62,217,328],"algorithm":[63,244,291],"based":[64],"a":[66,93,106,127,149,250,279,332],"mutual":[67,209],"information-weighted":[68],"k-nearest":[69,150],"neighbours":[70,151],"approach,":[71],"able":[72],"handle":[74],"simultaneous":[76],"information":[80,99,133,210],"different":[82,189],"types":[83],"variables.":[85],"We":[86,213,237,323],"developed":[87],"validated":[89,214],"method":[91,218,260],"clinical":[94,303],"register,":[95],"constituted":[96,130],"by":[97,111,131,207,245,305,317],"over":[101,135,172],"subsequent":[102],"screening":[103],"visits":[104],"cohort":[107],"patients":[109],"affected":[110],"amyotrophic":[112,300],"lateral":[113,301],"sclerosis.":[114],"METHODS:":[115],"For":[116],"each":[117],"subject":[118],"with":[119,163,227,258,269,287],"be":[123],"imputed,":[124],"create":[126],"feature":[128],"vector":[129,143],"his/her":[136],"first":[137],"three":[138,230],"months":[139],"visits.":[141],"This":[142],"used":[145],"as":[146],"sample":[147,183],"procedure,":[152],"order":[154],"select,":[156],"among":[157,204,321],"other":[159],"patients,":[160],"ones":[162],"most":[165],"similar":[166],"temporal":[167,308],"evolution":[168],"disease":[171],"time.":[173],"An":[174],"ad":[175],"hoc":[176],"similarity":[177],"metric":[178],"was":[179],"implemented":[180],"for":[181],"comparison,":[184],"capable":[185],"handling":[187,306],"nature":[190,312],"data,":[193],"multiple":[197],"include":[201],"cross-information":[203,320],"features":[205],"captured":[206],"statistic.":[211],"RESULTS:":[212],"proposed":[216,292],"independent":[221],"test":[222],"set,":[223],"comparing":[224,246],"its":[225],"performance":[226,248],"those":[228],"state-of-the-art":[231],"competitors,":[232],"resulting":[233],"better":[235],"performance.":[236],"further":[238],"assessed":[239],"validity":[241],"our":[243,259],"survival":[251],"classifier":[252],"built":[253,264],"imputed":[257,268],"versus":[261],"one":[263],"best-performing":[271],"competitor.":[272],"CONCLUSIONS:":[273],"Imputation":[274],"crucial":[280],"-and":[281],"often":[282],"mandatory-":[283],"step":[284],"working":[286],"real-world":[288],"datasets.":[289],"The":[290],"work":[295],"could":[296],"effectively":[297],"impute":[298],"sclerosis":[302],"dataset,":[304],"mixed-type":[311],"exploiting":[318],"features.":[322],"also":[324],"showed":[325],"how":[326],"quality":[329],"affect":[331],"task.":[335]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-24T07:32:12.397491","created_date":"2025-10-10T00:00:00"}
