{"id":"https://openalex.org/W2113820196","doi":"https://doi.org/10.1186/s12911-015-0206-y","title":"Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods","display_name":"Prediction of delayed graft function after kidney transplantation: comparison between logistic regression and machine learning methods","publication_year":2015,"publication_date":"2015-10-14","ids":{"openalex":"https://openalex.org/W2113820196","doi":"https://doi.org/10.1186/s12911-015-0206-y","mag":"2113820196","pmid":"https://pubmed.ncbi.nlm.nih.gov/26466993"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-015-0206-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-015-0206-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-015-0206-y","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/s12911-015-0206-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034824697","display_name":"Alexander Decruyenaere","orcid":"https://orcid.org/0000-0001-6795-7606"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Alexander Decruyenaere","raw_affiliation_strings":["Department of Nephrology, Ghent University Hospital, Ghent, Belgium. Alexander.Decruyenaere@UGent.be","Department of Nephrology, Ghent University Hospital, Ghent - Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Ghent University Hospital, Ghent, Belgium. Alexander.Decruyenaere@UGent.be","institution_ids":[]},{"raw_affiliation_string":"Department of Nephrology, Ghent University Hospital, Ghent - Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014202881","display_name":"Philippe Decruyenaere","orcid":"https://orcid.org/0000-0001-7118-8344"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Philippe Decruyenaere","raw_affiliation_strings":["Department of Nephrology, Ghent University Hospital, Ghent, Belgium","Department of Nephrology, Ghent University Hospital, Ghent - Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Ghent University Hospital, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"Department of Nephrology, Ghent University Hospital, Ghent - Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013392258","display_name":"Patrick Peeters","orcid":"https://orcid.org/0000-0002-8046-300X"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Patrick Peeters","raw_affiliation_strings":["Department of Nephrology, Ghent University Hospital, Ghent, Belgium","Department of Nephrology, Ghent University Hospital, Ghent - Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nephrology, Ghent University Hospital, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"Department of Nephrology, Ghent University Hospital, Ghent - Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110151716","display_name":"Frank Vermassen","orcid":null},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Frank Vermassen","raw_affiliation_strings":["Department of Thoracic and Vascular Surgery, Ghent University Hospital, Ghent, Belgium","Department of Thoracic and Vascular Surgery Ghent University Hospital Ghent Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Thoracic and Vascular Surgery, Ghent University Hospital, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]},{"raw_affiliation_string":"Department of Thoracic and Vascular Surgery Ghent University Hospital Ghent Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081846222","display_name":"Tom Dhaene","orcid":"https://orcid.org/0000-0003-2899-4636"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tom Dhaene","raw_affiliation_strings":["Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium","Department of Information Technology (INTEC), Ghent University-iMINDS, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]},{"raw_affiliation_string":"Department of Information Technology (INTEC), Ghent University-iMINDS, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025390519","display_name":"Ivo Couckuyt","orcid":"https://orcid.org/0000-0002-9524-4205"},"institutions":[{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]},{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Ivo Couckuyt","raw_affiliation_strings":["Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium","Department of Information Technology (INTEC), Ghent University-iMINDS, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology (INTEC), Ghent University - iMinds, Ghent, Belgium","institution_ids":["https://openalex.org/I39327780","https://openalex.org/I32597200"]},{"raw_affiliation_string":"Department of Information Technology (INTEC), Ghent University-iMINDS, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034824697"],"corresponding_institution_ids":["https://openalex.org/I2801227569"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":2.0617,"has_fulltext":true,"cited_by_count":73,"citation_normalized_percentile":{"value":0.85132634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"83","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10373","display_name":"Renal Transplantation Outcomes and Treatments","score":0.8108999729156494,"subfield":{"id":"https://openalex.org/subfields/2747","display_name":"Transplantation"},"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/T10373","display_name":"Renal Transplantation Outcomes and Treatments","score":0.8108999729156494,"subfield":{"id":"https://openalex.org/subfields/2747","display_name":"Transplantation"},"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/T10999","display_name":"Organ Transplantation Techniques and Outcomes","score":0.10700000077486038,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T11163","display_name":"Organ Donation and Transplantation","score":0.015699999406933784,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6645774841308594},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6154102087020874},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6120961308479309},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5433952808380127},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5258246660232544},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4848541021347046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46312981843948364},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4515305757522583},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4479210674762726},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4369915723800659},{"id":"https://openalex.org/keywords/wilcoxon-signed-rank-test","display_name":"Wilcoxon signed-rank test","score":0.41621607542037964},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38123711943626404},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3464164733886719},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3148268461227417},{"id":"https://openalex.org/keywords/mann\u2013whitney-u-test","display_name":"Mann\u2013Whitney U test","score":0.19693279266357422}],"concepts":[{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6645774841308594},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6154102087020874},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6120961308479309},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5433952808380127},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5258246660232544},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4848541021347046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46312981843948364},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4515305757522583},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4479210674762726},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4369915723800659},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.41621607542037964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38123711943626404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3464164733886719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3148268461227417},{"id":"https://openalex.org/C12868164","wikidata":"https://www.wikidata.org/wiki/Q1424533","display_name":"Mann\u2013Whitney U test","level":2,"score":0.19693279266357422}],"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":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016030","descriptor_name":"Kidney Transplantation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016030","descriptor_name":"Kidney Transplantation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016030","descriptor_name":"Kidney Transplantation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D051799","descriptor_name":"Delayed Graft Function","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D051799","descriptor_name":"Delayed Graft Function","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D051799","descriptor_name":"Delayed Graft Function","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-015-0206-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-015-0206-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-015-0206-y","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:26466993","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26466993","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":null},{"id":"pmh:oai:archive.ugent.be:6973986","is_oa":true,"landing_page_url":"http://hdl.handle.net/1854/LU-6973986","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"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":"ISSN: 1472-6947","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:europepmc.org:3580689","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4607098","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"doi:10.1186/s12911-015-0206-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-015-0206-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-015-0206-y","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":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2113820196.pdf","grobid_xml":"https://content.openalex.org/works/W2113820196.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W141870429","https://openalex.org/W1546840930","https://openalex.org/W1707281389","https://openalex.org/W1744376040","https://openalex.org/W1969667211","https://openalex.org/W1976857190","https://openalex.org/W1987102184","https://openalex.org/W1995373699","https://openalex.org/W2002523926","https://openalex.org/W2003769665","https://openalex.org/W2019702351","https://openalex.org/W2031300651","https://openalex.org/W2045030989","https://openalex.org/W2058069130","https://openalex.org/W2070068969","https://openalex.org/W2072147752","https://openalex.org/W2077455683","https://openalex.org/W2101234009","https://openalex.org/W2104960492","https://openalex.org/W2108298583","https://openalex.org/W2109968192","https://openalex.org/W2116892880","https://openalex.org/W2132571607","https://openalex.org/W2135146312","https://openalex.org/W2140978037","https://openalex.org/W2143426320","https://openalex.org/W2149405352","https://openalex.org/W2152249240","https://openalex.org/W2153904763","https://openalex.org/W2167970551","https://openalex.org/W2417341993","https://openalex.org/W4232050702","https://openalex.org/W4232745783","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2510961579"],"abstract_inverted_index":{"BACKGROUND:":[0],"Predictive":[1],"models":[2,87,132,157,314],"for":[3,271],"delayed":[4],"graft":[5],"function":[6,114],"(DGF)":[7],"after":[8,70,150],"kidney":[9,34],"transplantation":[10],"are":[11,48,88,158,202,299],"usually":[12],"developed":[13],"using":[14,90,110,161],"logistic":[15,95],"regression.":[16],"We":[17],"want":[18],"to":[19,56,72,178,193,205,232,285,329,343,355],"evaluate":[20],"the":[21,28,40,58,91,131,144,156,194,230,259,281,300,308,324,336,346],"value":[22],"of":[23,30,61,76,85,130,155,169,187,211,243,264,291,307,326,339],"machine":[24],"learning":[25],"methods":[26],"in":[27,64,238],"prediction":[29],"DGF.":[31,357],"METHODS:":[32],"497":[33],"transplantations":[35],"from":[36],"deceased":[37],"donors":[38],"at":[39],"Ghent":[41],"University":[42],"Hospital":[43],"between":[44,180,312],"2005":[45],"and":[46,115,124,141,183,190,199,214,218,226,247,254,276,297],"2011":[47],"included.":[49],"A":[50],"feature":[51],"elimination":[52],"procedure":[53],"is":[54,133,171,175,191,280,315,334,352],"applied":[55],"determine":[57],"optimal":[59],"number":[60],"features,":[62],"resulting":[63,237],"20":[65],"selected":[66],"parameters":[67,69],"(24":[68],"conversion":[71],"indicator":[73],"parameters)":[74],"out":[75],"55":[77],"retrospectively":[78],"collected":[79],"parameters.":[80],"Subsequently,":[81],"9":[82],"distinct":[83],"types":[84],"predictive":[86,139],"fitted":[89],"reduced":[92],"data":[93],"set:":[94],"regression":[96],"(LR),":[97],"linear":[98,293,319,327,350],"discriminant":[99,103],"analysis":[100,104],"(LDA),":[101],"quadratic":[102],"(QDA),":[105],"support":[106],"vector":[107],"machines":[108],"(SVMs;":[109],"linear,":[111],"radial":[112,224,272,295],"basis":[113],"polynomial":[116,200,274],"kernels),":[117],"decision":[118],"tree":[119],"(DT),":[120],"random":[121],"forest":[122],"(RF),":[123],"stochastic":[125],"gradient":[126],"boosting":[127],"(SGB).":[128],"Performance":[129],"assessed":[134],"by":[135],"computing":[136],"sensitivity,":[137],"positive":[138],"values":[140],"area":[142],"under":[143],"receiver":[145],"operating":[146],"characteristic":[147],"curve":[148],"(AUROC)":[149],"10-fold":[151],"stratified":[152],"cross-validation.":[153],"AUROCs":[154],"pairwise":[159,309],"compared":[160],"Wilcoxon":[162],"signed-rank":[163],"test.":[164],"RESULTS:":[165],"The":[166,288],"observed":[167],"incidence":[168],"DGF":[170,185,209,333],"12.5":[172],"%.":[173,305],"DT":[174,253],"not":[176],"able":[177,204],"discriminate":[179],"recipients":[181,207,234,331],"with":[182,235,332],"without":[184,208],"(AUROC":[186,210,242,263],"52.5":[188],"%)":[189],"inferior":[192],"other":[195],"methods.":[196],"SGB,":[197],"RF":[198],"SVM":[201,225,257,275,296,320,328,351],"mainly":[203],"identify":[206,233,330],"77.2,":[212],"73.9":[213],"79.8":[215],"%,":[216,249],"respectively)":[217],"only":[219,282,301],"outperform":[220],"DT.":[221],"LDA,":[222,292],"QDA,":[223],"LR":[227,298],"also":[228],"have":[229],"ability":[231],"DGF,":[236],"higher":[239],"discriminative":[240,261,289],"capacity":[241,262],"82.2,":[244],"79.6,":[245],"83.3":[246],"81.7":[248],"respectively),":[250],"which":[251],"outperforms":[252],"RF.":[255],"Linear":[256],"has":[258],"highest":[260,338],"84.3":[265],"%),":[266],"outperforming":[267,321],"each":[268],"method,":[269],"except":[270,318],"SVM,":[273,294],"LDA.":[277],"However,":[278],"it":[279],"method":[283],"superior":[284],"LR.":[286,322],"CONCLUSIONS:":[287],"capacities":[290],"ones":[302],"above":[303],"80":[304],"None":[306],"AUROC":[310],"comparisons":[311],"these":[313],"statistically":[316],"significant,":[317],"Additionally,":[323],"sensitivity":[325],"amongst":[335],"three":[337],"all":[340],"models.":[341],"Due":[342],"both":[344],"reasons,":[345],"authors":[347],"believe":[348],"that":[349],"most":[353],"appropriate":[354],"predict":[356]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
