{"id":"https://openalex.org/W3028549067","doi":"https://doi.org/10.47738/ijiis.v2i2.14","title":"Naive Bayes Algorithm Using Selection of Correlation Based Featured Selections Features for Chronic Diagnosis Disease","display_name":"Naive Bayes Algorithm Using Selection of Correlation Based Featured Selections Features for Chronic Diagnosis Disease","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W3028549067","doi":"https://doi.org/10.47738/ijiis.v2i2.14","mag":"3028549067"},"language":"en","primary_location":{"id":"doi:10.47738/ijiis.v2i2.14","doi":"https://doi.org/10.47738/ijiis.v2i2.14","is_oa":true,"landing_page_url":"https://doi.org/10.47738/ijiis.v2i2.14","pdf_url":"http://ijiis.org/index.php/IJIIS/article/download/14/13","source":{"id":"https://openalex.org/S4210214001","display_name":"IJIIS International Journal of Informatics and Information Systems","issn_l":"2579-7069","issn":["2579-7069"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IJIIS: International Journal of Informatics and Information Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://ijiis.org/index.php/IJIIS/article/download/14/13","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036471644","display_name":"Irfan Santiko","orcid":"https://orcid.org/0000-0002-1282-5937","observed_orcids":["https://orcid.org/0000-0002-1282-5937"]},"institutions":[{"id":"https://openalex.org/I4405260847","display_name":"Universitas Amikom Purwokerto","ror":"https://ror.org/04c9wp534","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405260847"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Irfan Santiko","raw_affiliation_strings":["Amikom University Purwokerto, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amikom University Purwokerto, Indonesia","institution_ids":["https://openalex.org/I4405260847"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068471825","display_name":"Ikhsan Honggo","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405260847","display_name":"Universitas Amikom Purwokerto","ror":"https://ror.org/04c9wp534","country_code":"ID","type":"education","lineage":["https://openalex.org/I4405260847"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ikhsan Honggo","raw_affiliation_strings":["Amikom University Purwokerto, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amikom University Purwokerto, Indonesia","institution_ids":["https://openalex.org/I4405260847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405260847"],"apc_list":null,"apc_paid":null,"fwci":0.402,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65775462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"2","issue":"2","first_page":"56","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9961000084877014,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0035000001080334187,"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/T11550","display_name":"Text and Document Classification Technologies","score":9.999999747378752e-05,"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/chronic-kidney-disease","display_name":"chronic kidney disease","score":0.9559999704360962},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7829999923706055},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.890999972820282},{"id":"https://openalex.org/keywords/correlation-based-feature-selection","display_name":"correlation-based feature selection","score":0.8870000243186951},{"id":"https://openalex.org/keywords/ckd-diagnosis","display_name":"CKD diagnosis","score":0.6919999718666077},{"id":"https://openalex.org/keywords/early-disease-detection","display_name":"early disease detection","score":0.7310000061988831},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.6740000247955322}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8385474681854248},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7786442041397095},{"id":"https://openalex.org/C2778653478","wikidata":"https://www.wikidata.org/wiki/Q1054718","display_name":"Kidney disease","level":2,"score":0.6833109259605408},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5871698260307312},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5742408633232117},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5208185911178589},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.507499635219574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4761778712272644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4431033432483673},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.43452948331832886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3918847143650055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3787471652030945},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37473148107528687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36204907298088074},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2366514503955841},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19769620895385742},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09746599197387695},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.08396610617637634},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.47738/ijiis.v2i2.14","doi":"https://doi.org/10.47738/ijiis.v2i2.14","is_oa":true,"landing_page_url":"https://doi.org/10.47738/ijiis.v2i2.14","pdf_url":"http://ijiis.org/index.php/IJIIS/article/download/14/13","source":{"id":"https://openalex.org/S4210214001","display_name":"IJIIS International Journal of Informatics and Information Systems","issn_l":"2579-7069","issn":["2579-7069"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IJIIS: International Journal of Informatics and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.47738/ijiis.v2i2.14","doi":"https://doi.org/10.47738/ijiis.v2i2.14","is_oa":true,"landing_page_url":"https://doi.org/10.47738/ijiis.v2i2.14","pdf_url":"http://ijiis.org/index.php/IJIIS/article/download/14/13","source":{"id":"https://openalex.org/S4210214001","display_name":"IJIIS International Journal of Informatics and Information Systems","issn_l":"2579-7069","issn":["2579-7069"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IJIIS: International Journal of Informatics and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.98580002784729,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3028549067.pdf","grobid_xml":"https://content.openalex.org/works/W3028549067.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1511339751","https://openalex.org/W1560107318","https://openalex.org/W1594885191","https://openalex.org/W2019439081","https://openalex.org/W2078144193","https://openalex.org/W2102482611","https://openalex.org/W2103333826","https://openalex.org/W2109676405","https://openalex.org/W2112953696","https://openalex.org/W2120538612","https://openalex.org/W2155653793","https://openalex.org/W2191741682","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W3182646003","https://openalex.org/W3173093567","https://openalex.org/W2582464951","https://openalex.org/W4367331430","https://openalex.org/W3021008459","https://openalex.org/W4306688336","https://openalex.org/W3212698700","https://openalex.org/W7220635155","https://openalex.org/W2765995359","https://openalex.org/W3153724335"],"abstract_inverted_index":{"Chronic":[0,27],"kidney":[1,25,77],"disease":[2,5,58,78,86,99],"is":[3,144,154,165,194],"a":[4,16,34,172],"that":[6,56,146,153],"can":[7],"cause":[8],"death,":[9],"because":[10,197],"the":[11,38,47,57,61,69,85,92,98,111,114,123,126,157,163,169,181,192,198,207],"pathophysiological":[12],"etiology":[13],"resulting":[14],"in":[15,19,24,37,68,206],"progressive":[17],"decline":[18],"renal":[20],"function,":[21],"and":[22,41,108,131,184],"ends":[23],"failure.":[26],"Kidney":[28,40],"Disease":[29],"(CKD)":[30],"has":[31],"now":[32],"become":[33],"serious":[35],"problem":[36],"world.":[39],"urinary":[42],"tract":[43],"diseases":[44],"have":[45,79],"caused":[46],"death":[48],"of":[49,71,113,125,171],"850,000":[50],"people":[51],"each":[52],"year.":[53],"This":[54],"suggests":[55],"was":[59],"ranked":[60],"12th":[62],"highest":[63],"mortality":[64],"rate.":[65],"Some":[66],"studies":[67],"field":[70],"health":[72],"including":[73,191],"one":[74],"with":[75],"chronic":[76],"been":[80],"carried":[81],"out":[82],"to":[83,96,203],"detect":[84,97],"early,":[87],"In":[88],"this":[89],"study,":[90],"testing":[91,175,187],"Naive":[93,147,176],"Bayes":[94,148,159,177],"algorithm":[95,116,127,149,178],"on":[100],"patients":[101],"who":[102],"tested":[103],"positive":[104],"for":[105],"negative":[106],"CKD":[107],"CKD.":[109],"From":[110],"results":[112,124],"test":[115],"accuracy":[117,128,174,199,211],"value":[118,170,200],"will":[119],"be":[120],"compared":[121],"against":[122],"before":[129],"use":[130],"after":[132,150],"feature":[133,136,151,161,182,185],"selection":[134,137,152,162,183],"using":[135,180],"Featured":[138],"Correlation":[139],"Based":[140],"Selection":[141],"(CFS),":[142],"it":[143],"known":[145],"93.58%,":[155],"while":[156],"naive":[158],"without":[160,179],"result":[164],"93.54%":[166],"accuracy.":[167],"Seeing":[168],"second":[173],"selection,":[186],"both":[188],"these":[189],"algorithms":[190],"classification":[193],"very":[195],"good,":[196],"above":[201],"0.90":[202],"1.00.":[204],"Included":[205],"excellent":[208],"classification.":[209],"higher":[210],"results.":[212]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2020-05-29T00:00:00"}