{"id":"https://openalex.org/W4304814783","doi":"https://doi.org/10.1109/acit54803.2022.9913159","title":"An Ensemble Based Model for Detecting Genetically Inherited Disorder","display_name":"An Ensemble Based Model for Detecting Genetically Inherited Disorder","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4304814783","doi":"https://doi.org/10.1109/acit54803.2022.9913159"},"language":"en","primary_location":{"id":"doi:10.1109/acit54803.2022.9913159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit54803.2022.9913159","pdf_url":null,"source":{"id":"https://openalex.org/S4363608254","display_name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","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/A5062215859","display_name":"Joan Chebet Tarus","orcid":null},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":true,"raw_author_name":"Joan Chebet Tarus","raw_affiliation_strings":["Jomo Kenyatta University of Agriculture and Technology,Department of Computing,Nairobi,Kenya","Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"Jomo Kenyatta University of Agriculture and Technology,Department of Computing,Nairobi,Kenya","institution_ids":["https://openalex.org/I26805570"]},{"raw_affiliation_string":"Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029392787","display_name":"Kennedy Ogada","orcid":null},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Kennedy Ogada","raw_affiliation_strings":["Jomo Kenyatta University of Agriculture and Technology,Department of Computing,Nairobi,Kenya","Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"Jomo Kenyatta University of Agriculture and Technology,Department of Computing,Nairobi,Kenya","institution_ids":["https://openalex.org/I26805570"]},{"raw_affiliation_string":"Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya","institution_ids":["https://openalex.org/I26805570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022770399","display_name":"Tobias Mwalili","orcid":null},"institutions":[{"id":"https://openalex.org/I26805570","display_name":"Jomo Kenyatta University of Agriculture and Technology","ror":"https://ror.org/015h5sy57","country_code":"KE","type":"education","lineage":["https://openalex.org/I26805570"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Tobias Mwalili","raw_affiliation_strings":["Jomo Kenyatta University of Agriculture and Technology,Department of Computing,Nairobi,Kenya","Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya"],"affiliations":[{"raw_affiliation_string":"Jomo Kenyatta University of Agriculture and Technology,Department of Computing,Nairobi,Kenya","institution_ids":["https://openalex.org/I26805570"]},{"raw_affiliation_string":"Department of Computing, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya","institution_ids":["https://openalex.org/I26805570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062215859"],"corresponding_institution_ids":["https://openalex.org/I26805570"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.29794225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"121","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9732999801635742,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9732999801635742,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9685999751091003,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9480999708175659,"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/random-subspace-method","display_name":"Random subspace method","score":0.7225713729858398},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7216784954071045},{"id":"https://openalex.org/keywords/majority-rule","display_name":"Majority rule","score":0.6532066464424133},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6449545621871948},{"id":"https://openalex.org/keywords/cascading-classifiers","display_name":"Cascading classifiers","score":0.6397166848182678},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6357563734054565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5918826460838318},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5750322937965393},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4991917610168457},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48344382643699646},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.4522169828414917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.424086332321167}],"concepts":[{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.7225713729858398},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7216784954071045},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.6532066464424133},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6449545621871948},{"id":"https://openalex.org/C40651066","wikidata":"https://www.wikidata.org/wiki/Q5048220","display_name":"Cascading classifiers","level":4,"score":0.6397166848182678},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6357563734054565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5918826460838318},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5750322937965393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4991917610168457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48344382643699646},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.4522169828414917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.424086332321167},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit54803.2022.9913159","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit54803.2022.9913159","pdf_url":null,"source":{"id":"https://openalex.org/S4363608254","display_name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 12th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2139897147","https://openalex.org/W2182131007","https://openalex.org/W2581465409","https://openalex.org/W2612704265","https://openalex.org/W2623516890","https://openalex.org/W2626590196","https://openalex.org/W2683383161","https://openalex.org/W2742188683","https://openalex.org/W2891189889","https://openalex.org/W2893158555","https://openalex.org/W2909848722","https://openalex.org/W2941840102","https://openalex.org/W2947395823","https://openalex.org/W3039898056","https://openalex.org/W3105712592","https://openalex.org/W6686143063","https://openalex.org/W6739087449","https://openalex.org/W6780331231"],"related_works":["https://openalex.org/W2083259201","https://openalex.org/W2142995730","https://openalex.org/W2886126675","https://openalex.org/W2803273122","https://openalex.org/W2905430408","https://openalex.org/W3045523451","https://openalex.org/W2161208102","https://openalex.org/W2522176866","https://openalex.org/W3167703153","https://openalex.org/W2956098877"],"abstract_inverted_index":{"An":[0],"Ensemble":[1,89],"of":[2,7,62,126,138,147],"Classifiers":[3],"is":[4,21,86,150],"a":[5,22,64,155],"series":[6],"skilled":[8],"classifier":[9,53],"models":[10],"whose":[11],"predictions":[12],"are":[13,70,99],"blended":[14],"to":[15,24,81],"attain":[16],"an":[17,151],"ultimate":[18],"decision.":[19],"It":[20],"technique":[23],"choose":[25],"for":[26,73,118],"prediction":[27],"from":[28,51,106],"the":[29,35,43,119,148,160],"multidimensional":[30],"data":[31,75],"which":[32,98],"can":[33,47],"improve":[34],"classification":[36],"accuracy":[37,137,153],"in":[38,135],"diverse":[39],"datasets.":[40],"In":[41],"addition,":[42],"best":[44],"method":[45],"that":[46,124],"reduce":[48],"error":[49],"arising":[50],"single":[52],"i.e.,":[54],"over":[55],"fitting,":[56],"inaccuracy":[57],"and":[58,77,94,113,154],"at":[59],"times":[60],"complexity":[61],"train":[63],"model.":[65],"Also,":[66],"most":[67],"individual":[68],"classifiers":[69],"not":[71],"suitable":[72],"large":[74],"sets":[76],"their":[78],"performance":[79],"tend":[80],"be":[82,116],"slow.":[83],"This":[84,121],"study":[85,122],"based":[87,128],"on":[88,129],"algorithms":[90],"namely":[91],"Voting,":[92],"Stacking":[93],"Bagging":[95],"by":[96],"evaluations":[97],"performed":[100],"using":[101],"different":[102,111],"classifiers.":[103],"Data":[104,107],"set":[105],"world":[108],"digest":[109],"containing":[110],"attributes":[112],"dimensions":[114],"will":[115],"used":[117],"study.":[120],"shows":[123],"detection":[125],"disorder":[127,161],"ensemble":[130],"model":[131,149],"obtains":[132],"better":[133],"results":[134],"average":[136],"eighty":[139],"three":[140],"percent":[141],"than":[142],"other":[143],"methods.":[144],"The":[145],"benefit":[146],"increased":[152],"reduced":[156],"run-time":[157],"when":[158],"performing":[159],"detection.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
