{"id":"https://openalex.org/W3094101428","doi":"https://doi.org/10.1109/icccnt49239.2020.9225551","title":"Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches","display_name":"Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3094101428","doi":"https://doi.org/10.1109/icccnt49239.2020.9225551","mag":"3094101428"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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/A5023117959","display_name":"Md Tanvir Islam","orcid":"https://orcid.org/0009-0007-9405-5684"},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Tanvir Islam","raw_affiliation_strings":["Khulna University of Engineering & Technology, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Khulna University of Engineering & Technology, Khulna, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058039230","display_name":"M. Raihan","orcid":"https://orcid.org/0000-0003-1072-3555"},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"M. Raihan","raw_affiliation_strings":["Khulna University of Engineering & Technology, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Khulna University of Engineering & Technology, Khulna, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035669932","display_name":"Nasrin Aktar","orcid":null},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nasrin Aktar","raw_affiliation_strings":["North Western University, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"North Western University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079969267","display_name":"Md Shahabub Alam","orcid":"https://orcid.org/0000-0001-7912-7108"},"institutions":[{"id":"https://openalex.org/I135564639","display_name":"Ahsanullah University of Science and Technology","ror":"https://ror.org/04wfbp123","country_code":"BD","type":"education","lineage":["https://openalex.org/I135564639"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Shahabub Alam","raw_affiliation_strings":["Ahsanullah University of Science and Technology, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Ahsanullah University of Science and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I135564639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075692996","display_name":"Romana Rahman Ema","orcid":"https://orcid.org/0000-0002-2384-9539"},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Romana Rahman Ema","raw_affiliation_strings":["Khulna University of Engineering & Technology, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Khulna University of Engineering & Technology, Khulna, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103854282","display_name":"Tajul Islam","orcid":null},"institutions":[{"id":"https://openalex.org/I1307585291","display_name":"Khulna University of Engineering and Technology","ror":"https://ror.org/04y58d606","country_code":"BD","type":"education","lineage":["https://openalex.org/I1307585291"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tajul Islam","raw_affiliation_strings":["Khulna University of Engineering & Technology, Khulna, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Khulna University of Engineering & Technology, Khulna, Bangladesh","institution_ids":["https://openalex.org/I1307585291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023117959"],"corresponding_institution_ids":["https://openalex.org/I1307585291"],"apc_list":null,"apc_paid":null,"fwci":2.8914,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.92775237,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9998000264167786,"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":0.9998000264167786,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.954200029373169,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9028000235557556,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.8290068507194519},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8015313744544983},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.777107298374176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.693034291267395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6915939450263977},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6450065970420837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5580579042434692},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.520756721496582},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.464393675327301},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18930423259735107},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.18903815746307373},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.09725698828697205}],"concepts":[{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.8290068507194519},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8015313744544983},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.777107298374176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.693034291267395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6915939450263977},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6450065970420837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5580579042434692},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.520756721496582},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.464393675327301},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18930423259735107},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.18903815746307373},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.09725698828697205}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225551","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225551","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2735056555","https://openalex.org/W2808782380","https://openalex.org/W2888167355","https://openalex.org/W2902814236","https://openalex.org/W2908604688","https://openalex.org/W2914864795","https://openalex.org/W2941992418"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W3011239835","https://openalex.org/W4312534362","https://openalex.org/W3213126983","https://openalex.org/W3185760728","https://openalex.org/W2915047625","https://openalex.org/W4233259193","https://openalex.org/W2944292463","https://openalex.org/W3014252901","https://openalex.org/W2174714397"],"abstract_inverted_index":{"Nowadays":[0],"Diabetes":[1,21],"Mellitus":[2,22],"is":[3,23,42,60,102],"one":[4],"of":[5,26,66,98,155],"the":[6,13,64,86,109,147,173],"most":[7,83],"rapidly":[8],"growing":[9],"diseases":[10],"which":[11,81],"makes":[12],"biggest":[14],"contribution":[15],"to":[16,75,105,116,193],"morbidity":[17],"and":[18,70,93,140,145,158,184],"mortality":[19],"worldwide.":[20],"a":[24,36],"group":[25],"metabolic":[27],"disorders":[28],"defined":[29],"by":[30],"high":[31],"blood":[32],"glucose":[33,67],"level":[34,65],"over":[35],"prolonged":[37],"period.":[38],"Although":[39],"this":[40,52,127],"disease":[41,53,196],"familiar":[43],"as":[44],"hereditary":[45],"disease,":[46],"many":[47],"people":[48],"are":[49],"suffering":[50],"from":[51],"without":[54],"having":[55],"family":[56],"background.":[57],"If":[58],"diabetes":[59,107,120,195],"not":[61],"in":[62,78,85,91],"control,":[63],"goes":[68],"up":[69],"it":[71,101],"may":[72],"cause":[73],"damage":[74],"small":[76],"vessels":[77],"human":[79],"body":[80],"appears":[82],"often":[84],"nerves,":[87],"feet,":[88],"eyes":[89],"even":[90],"heart":[92],"kidneys.":[94],"To":[95,143],"get":[96],"rid":[97],"these":[99],"issues,":[100],"very":[103],"crucial":[104],"predict":[106,194],"on":[108,119],"early":[110],"stage.":[111],"Hence,":[112],"we":[113,129,149],"have":[114,130,150],"decided":[115],"do":[117],"research":[118],"prediction":[121],"using":[122],"Machine":[123,134],"Learning":[124,135],"algorithms.":[125],"In":[126,171],"study,":[128],"used":[131],"three":[132,174],"popular":[133],"algorithms":[136,148],"called":[137],"AdaBoost,":[138],"Bagging":[139,180],"Random":[141,185],"Forest.":[142],"train":[144],"test":[146],"collected":[151],"real":[152],"time":[153],"information":[154],"both":[156],"diabetic":[157],"non-diabetic":[159],"people.":[160],"The":[161],"dataset":[162],"contains":[163],"464":[164],"instances":[165],"with":[166,191],"22":[167],"unique":[168],"risk":[169],"factors.":[170],"between":[172],"algorithms,":[175],"AdaBoost":[176],"gave":[177,181,187],"97.84%":[178],"accuracy,":[179],"98.28%":[182],"accuracy":[183,190],"Forest":[186],"99.35":[188],"%":[189],"respect":[192],"precisely.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}