{"id":"https://openalex.org/W2995789483","doi":"https://doi.org/10.1109/tencon.2019.8929378","title":"A Bi-Level Cascaded Ensemble Framework for Effective Disease Diagnosis","display_name":"A Bi-Level Cascaded Ensemble Framework for Effective Disease Diagnosis","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995789483","doi":"https://doi.org/10.1109/tencon.2019.8929378","mag":"2995789483"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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/A5082365220","display_name":"Ramalingaswamy Cheruku","orcid":"https://orcid.org/0000-0003-1677-5321"},"institutions":[{"id":"https://openalex.org/I188963388","display_name":"International Institute of Information Technology","ror":"https://ror.org/02dernx73","country_code":"IN","type":"education","lineage":["https://openalex.org/I188963388"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramalingaswamy Cheruku","raw_affiliation_strings":["Department of Computer Science and Engineering, Dr. SPM International Institute of Information Technology, Naya Raipur, Chhattisgarh, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Dr. SPM International Institute of Information Technology, Naya Raipur, Chhattisgarh, India","institution_ids":["https://openalex.org/I188963388"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025150521","display_name":"Pradeep Nalluri","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradeep Kumar Nalluri","raw_affiliation_strings":["Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013194604","display_name":"Krishna Yogeshwar G. Gopi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna Yogeshwar G. Gopi","raw_affiliation_strings":["Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104754365","display_name":"J.B.S. Charan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"J.B.S. Charan","raw_affiliation_strings":["Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045721525","display_name":"V. Naga Sanketh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164565","display_name":"Mahindra University","ror":"https://ror.org/05751b994","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210164565"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V. Naga Sanketh","raw_affiliation_strings":["Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Mahindra Ecole Centrale, Hyderabad, India","institution_ids":["https://openalex.org/I4210164565"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nareshkumar Reddy Beechu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138731","display_name":"ICFAI Foundation for Higher Education","ror":"https://ror.org/04p3pp808","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210138731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nareshkumar Reddy Beechu","raw_affiliation_strings":["ICFAI Foundation for Higher Education, Faculty of Science and Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"ICFAI Foundation for Higher Education, Faculty of Science and Technology, Hyderabad, India","institution_ids":["https://openalex.org/I4210138731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5082365220"],"corresponding_institution_ids":["https://openalex.org/I188963388"],"apc_list":null,"apc_paid":null,"fwci":0.3601,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76287425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2059","last_page":"2062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9991000294685364,"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":0.9991000294685364,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9453999996185303,"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/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.7616939544677734},{"id":"https://openalex.org/keywords/stroke","display_name":"Stroke (engine)","score":0.5791349411010742},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5476042032241821},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.5243635177612305},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5199126601219177},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.511370837688446},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5104471445083618},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5065377950668335},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4821895658969879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4499548077583313},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42171671986579895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42067188024520874},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.34753191471099854},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.23369237780570984},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.17031708359718323},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07859867811203003}],"concepts":[{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.7616939544677734},{"id":"https://openalex.org/C2780645631","wikidata":"https://www.wikidata.org/wiki/Q671554","display_name":"Stroke (engine)","level":2,"score":0.5791349411010742},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5476042032241821},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.5243635177612305},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5199126601219177},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.511370837688446},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5104471445083618},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5065377950668335},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4821895658969879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4499548077583313},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42171671986579895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42067188024520874},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.34753191471099854},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23369237780570984},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.17031708359718323},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07859867811203003},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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":22,"referenced_works":["https://openalex.org/W25785297","https://openalex.org/W94523489","https://openalex.org/W638704909","https://openalex.org/W807187018","https://openalex.org/W1964168965","https://openalex.org/W2020267609","https://openalex.org/W2117837102","https://openalex.org/W2119821739","https://openalex.org/W2134293572","https://openalex.org/W2151441196","https://openalex.org/W2204950599","https://openalex.org/W2234984784","https://openalex.org/W2564066972","https://openalex.org/W2717356422","https://openalex.org/W2765394082","https://openalex.org/W2766039569","https://openalex.org/W2970287529","https://openalex.org/W3125937743","https://openalex.org/W4236737715","https://openalex.org/W4239510810","https://openalex.org/W6601086823","https://openalex.org/W6603834347"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Due":[0],"to":[1,43,110,118],"life":[2],"style":[3],"change,":[4],"working":[5],"habits":[6],"and":[7,18,138,158,175,185],"lack":[8],"of":[9,77,182],"physical":[10],"activity":[11],"many":[12,81],"people":[13],"are":[14,34,127,167],"suffering":[15],"from":[16],"Diabetes":[17,21,149,155],"heart":[19,161],"diseases.":[20],"is":[22,41,49,94,108,144],"a":[23,59,74,129],"chronic":[24],"disease":[25,93,162],"in":[26,31,54,62,70,114,123,172,180],"which":[27,48],"the":[28,37,55,71,115,120,159,173],"glucose":[29,68],"levels":[30,69],"human":[32],"blood":[33,72],"more":[35],"than":[36],"ideal":[38],"levels.":[39],"It":[40,99,107],"due":[42],"deficiency":[44],"or":[45],"insufficient":[46],"insulin":[47],"produced":[50],"by":[51,133],"beta":[52],"cells":[53],"pancreas.":[56],"Insulin":[57],"plays":[58],"key":[60],"role":[61],"regulating":[63],"excess":[64,67],"glucose.":[65],"However,":[66],"over":[73],"long":[75],"period":[76],"time":[78],"causes":[79],"so":[80],"other":[82],"complications":[83],"like":[84],"heard":[85],"stroke,":[86,88],"brain":[87],"vision":[89],"loss,":[90],"etc.":[91],"Heart":[92],"also":[95],"an":[96],"incessant":[97],"disorder.":[98],"could":[100],"be":[101],"as":[102,104],"devastating":[103],"possible.":[105],"Hence,":[106],"better":[109],"diagnosis":[111],"these":[112],"diseases":[113],"early":[116],"stages":[117],"prevent":[119],"loss.":[121],"So,":[122],"this":[124],"paper,":[125],"we":[126],"proposing":[128],"2-level":[130],"ensemble":[131],"framework":[132],"combining":[134],"RBFN,":[135],"PNN,":[136],"SVM":[137],"logistic":[139],"regression.":[140],"The":[141,165],"proposed":[142,177],"model":[143,178],"validated":[145],"using":[146],"benchmark":[147],"type-2":[148],"data":[150,156,163],"set":[151,157],"called":[152],"Pima":[153],"Indian":[154],"statlog":[160],"set.":[164],"results":[166],"compared":[168],"with":[169],"state-of-the-art":[170],"techniques":[171],"literature":[174],"our":[176],"outperforms":[179],"terms":[181],"accuracy,":[183],"sensitivity":[184],"specificity.":[186]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}