{"id":"https://openalex.org/W2898623405","doi":"https://doi.org/10.1145/3279996.3280021","title":"<i>Retracted on September 10, 2025:</i> Mantra: a novel imputation measure for disease classification and prediction","display_name":"<i>Retracted on September 10, 2025:</i> Mantra: a novel imputation measure for disease classification and prediction","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2898623405","doi":"https://doi.org/10.1145/3279996.3280021","mag":"2898623405"},"language":"en","primary_location":{"id":"doi:10.1145/3279996.3280021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3279996.3280021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Data Science, E-learning and Information Systems","raw_type":"proceedings-article"},"type":"article","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/A5073373993","display_name":"Shadi Aljawarneh","orcid":null},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Shadi Aljawarneh","raw_affiliation_strings":["JUST, Jordan"],"affiliations":[{"raw_affiliation_string":"JUST, Jordan","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041895275","display_name":"Vangipuram Radhakrishna","orcid":"https://orcid.org/0000-0002-7373-6276"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vangipuram Radhakrishna","raw_affiliation_strings":["VNR VJIET, HYDERABAD, INDIA"],"affiliations":[{"raw_affiliation_string":"VNR VJIET, HYDERABAD, INDIA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112642491","display_name":"Gali Suresh Reddy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gali Suresh Reddy","raw_affiliation_strings":["VNR VJIET, HYDERABAD, INDIA"],"affiliations":[{"raw_affiliation_string":"VNR VJIET, HYDERABAD, INDIA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073373993"],"corresponding_institution_ids":["https://openalex.org/I156983542"],"apc_list":null,"apc_paid":null,"fwci":16.8855,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.9911733,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.9528887271881104},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8211359977722168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415993571281433},{"id":"https://openalex.org/keywords/mantra","display_name":"Mantra","score":0.4493572413921356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4335542321205139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39388057589530945},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2333146333694458}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.9528887271881104},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8211359977722168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415993571281433},{"id":"https://openalex.org/C2778171436","wikidata":"https://www.wikidata.org/wiki/Q131510","display_name":"Mantra","level":2,"score":0.4493572413921356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4335542321205139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39388057589530945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2333146333694458},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3279996.3280021","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3279996.3280021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Conference on Data Science, E-learning and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W125869453","https://openalex.org/W1941823481","https://openalex.org/W2003740762","https://openalex.org/W2116377106","https://openalex.org/W2168243501","https://openalex.org/W2191495690","https://openalex.org/W2193493184","https://openalex.org/W2213467710","https://openalex.org/W2220567469","https://openalex.org/W2303470328","https://openalex.org/W2435595312","https://openalex.org/W2510170228","https://openalex.org/W2549066293","https://openalex.org/W2557266189","https://openalex.org/W2557761283","https://openalex.org/W2557779747","https://openalex.org/W2557843173","https://openalex.org/W2558089109","https://openalex.org/W2558623596","https://openalex.org/W2559070724","https://openalex.org/W2559211434","https://openalex.org/W2570160403","https://openalex.org/W2574209248","https://openalex.org/W2596206083","https://openalex.org/W2616856747","https://openalex.org/W2759696253","https://openalex.org/W2772110660","https://openalex.org/W2772365303","https://openalex.org/W2785783567","https://openalex.org/W2786069311","https://openalex.org/W2787121309","https://openalex.org/W2787366979","https://openalex.org/W2800369870","https://openalex.org/W2885080997","https://openalex.org/W2885301212","https://openalex.org/W2886641087","https://openalex.org/W2886733372","https://openalex.org/W2895343364","https://openalex.org/W2964102409","https://openalex.org/W2993413612","https://openalex.org/W4247114672","https://openalex.org/W6718716683","https://openalex.org/W6748231242"],"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":{"Medical":[0],"record":[1],"instances":[2],"can":[3,56],"have":[4],"missing":[5,24,42,73,87,107],"values":[6],"which":[7],"makes":[8],"them":[9],"unsuitable":[10],"for":[11,104],"learning":[12,35],"process.":[13],"Data":[14],"Imputation":[15,28,60],"is":[16,39,61,83,93,102,112,118,126,133,137],"normally":[17],"done":[18],"to":[19,30,71,85],"fill":[20],"one":[21],"or":[22,33],"more":[23],"data":[25,63,88],"attribute":[26],"values.":[27,74,89,108],"helps":[29,46],"perform":[31],"supervised":[32],"un-supervised":[34],"after":[36,135],"the":[37,47,97,129,140],"dataset":[38],"free":[40],"from":[41],"data.":[43],"Learning":[44],"process":[45],"discovery":[48],"of":[49,106],"hidden,":[50],"valuable":[51],"and":[52],"important":[53],"information":[54],"that":[55,66,114,128,132],"provide":[57],"insightful":[58],"results.":[59],"a":[62,78],"pre-processing":[64],"task":[65],"requires":[67],"applying":[68],"distance":[69,79,91,122],"function":[70,80,92],"find":[72],"In":[75],"this":[76],"paper,":[77],"named":[81],"MANTRA":[82],"proposed":[84,121],"impute":[86],"The":[90],"also":[94],"called":[95],"as":[96,139],"imputation":[98,105,117,136],"measure":[99],"since":[100],"it":[101],"designed":[103],"A":[109],"working":[110],"example":[111],"demonstrated":[113],"shows":[115],"how":[116],"achieved":[119],"using":[120],"function,":[123],"MANTRA.":[124],"It":[125],"proved":[127],"nominal":[130],"value":[131],"filled":[134],"same":[138],"original.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":11}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-11-09T00:00:00"}