{"id":"https://openalex.org/W4404045929","doi":"https://doi.org/10.1007/s44196-024-00678-3","title":"Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms","display_name":"Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms","publication_year":2024,"publication_date":"2024-11-04","ids":{"openalex":"https://openalex.org/W4404045929","doi":"https://doi.org/10.1007/s44196-024-00678-3"},"language":"en","primary_location":{"id":"doi:10.1007/s44196-024-00678-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00678-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00678-3.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00678-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021982148","display_name":"G. R. Ashisha","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. R. Ashisha","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102002517","display_name":"X. Anitha Mary","orcid":"https://orcid.org/0000-0002-7284-1541"},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"X. Anitha Mary","raw_affiliation_strings":["Department of Robotics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Robotics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025955295","display_name":"E. Grace Mary Kanaga","orcid":null},"institutions":[{"id":"https://openalex.org/I119668213","display_name":"Karunya University","ror":"https://ror.org/03k23nv15","country_code":"IN","type":"education","lineage":["https://openalex.org/I119668213"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Grace Mary Kanaga","raw_affiliation_strings":["Department of Computer Science Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I119668213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044595104","display_name":"J. Andrew","orcid":null},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"J. Andrew","raw_affiliation_strings":["Department of Computer Science Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015560475","display_name":"Jennifer Eunice","orcid":"https://orcid.org/0000-0002-2892-1675"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Jennifer Eunice","raw_affiliation_strings":["Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechatronics Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044595104","https://openalex.org/A5102002517"],"corresponding_institution_ids":["https://openalex.org/I119668213","https://openalex.org/I164861460"],"apc_list":{"value":2290,"currency":"USD","value_usd":2290},"apc_paid":{"value":2290,"currency":"USD","value_usd":2290},"fwci":7.3243,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.96962478,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9952999949455261,"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":0.9952999949455261,"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/T12745","display_name":"Dietary Effects on Health","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T14174","display_name":"Artificial Intelligence and Decision Support Systems","score":0.9492999911308289,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.8219817280769348},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6897300481796265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681382656097412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.636884331703186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.591900646686554},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4761095941066742},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4732699394226074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3474951684474945}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.8219817280769348},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6897300481796265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681382656097412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.636884331703186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.591900646686554},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4761095941066742},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4732699394226074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3474951684474945},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44196-024-00678-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00678-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00678-3.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ec83f8106c1d45c898f8f8841c0abc28","is_oa":false,"landing_page_url":"https://doaj.org/article/ec83f8106c1d45c898f8f8841c0abc28","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-17 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44196-024-00678-3","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44196-024-00678-3","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44196-024-00678-3.pdf","source":{"id":"https://openalex.org/S190680769","display_name":"International Journal of Computational Intelligence Systems","issn_l":"1875-6883","issn":["1875-6883","1875-6891"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Intelligence Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404045929.pdf","grobid_xml":"https://content.openalex.org/works/W4404045929.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W807187018","https://openalex.org/W2596827363","https://openalex.org/W2949671775","https://openalex.org/W2978392610","https://openalex.org/W2999483804","https://openalex.org/W3017382074","https://openalex.org/W3027666981","https://openalex.org/W3041347565","https://openalex.org/W3137532457","https://openalex.org/W3146991051","https://openalex.org/W3165907317","https://openalex.org/W3172328600","https://openalex.org/W3191601669","https://openalex.org/W4205181033","https://openalex.org/W4226017353","https://openalex.org/W4286586461","https://openalex.org/W4289277715","https://openalex.org/W4311263986","https://openalex.org/W4311364090","https://openalex.org/W4312143439","https://openalex.org/W4316469706","https://openalex.org/W4317039742","https://openalex.org/W4319068530","https://openalex.org/W4362496651","https://openalex.org/W4362636732","https://openalex.org/W4367849077","https://openalex.org/W4379052745","https://openalex.org/W4387745472","https://openalex.org/W4391014866","https://openalex.org/W4399015287"],"related_works":["https://openalex.org/W4401045170","https://openalex.org/W3172259201","https://openalex.org/W2903618681","https://openalex.org/W3184937791","https://openalex.org/W4401052546","https://openalex.org/W2953675148","https://openalex.org/W4394984040","https://openalex.org/W4386210978","https://openalex.org/W4401361218","https://openalex.org/W4237698281"],"abstract_inverted_index":{"Abstract":[0],"Diabetes":[1,92],"mellitus":[2],"is":[3,228,240],"considered":[4],"one":[5],"of":[6,10,42,51,77,112,121,195,213],"the":[7,49,75,89,96,113,119,123,134,139,143,200,206,210,216,224,231],"main":[8],"causes":[9],"death":[11],"worldwide.":[12],"If":[13],"diabetes":[14,43,63,103,173,218],"fails":[15],"to":[16,105,117,129],"be":[17,72],"treated":[18],"and":[19,37,47,84,95,133,162,191,220],"diagnosed":[20],"earlier,":[21],"it":[22],"can":[23,71],"cause":[24],"several":[25],"other":[26],"health":[27],"problems,":[28,36],"such":[29,151,184],"as":[30,152,165,185],"kidney":[31],"disease,":[32,34],"nerve":[33],"vision":[35],"brain":[38],"issues.":[39],"Early":[40],"detection":[41,128],"reduces":[44],"healthcare":[45],"costs":[46],"minimizes":[48],"chance":[50],"serious":[52],"complications.":[53],"In":[54],"this":[55,196],"work,":[56],"we":[57],"propose":[58],"an":[59],"e-diagnostic":[60],"model":[61,110,197],"for":[62,137,172,242,250],"classification":[64,170],"via":[65,181],"a":[66],"machine":[67],"learning":[68],"algorithm":[69,136,203],"that":[70,199],"executed":[73],"on":[74,215,223],"Internet":[76],"Medical":[78],"Things":[79],"(IoMT).":[80],"The":[81,108,145],"study":[82],"uses":[83],"analyses":[85],"two":[86],"benchmarking":[87],"datasets,":[88],"PIMA":[90],"Indian":[91],"Dataset":[93],"(PIDD)":[94],"Behavioral":[97],"Risk":[98],"Factor":[99],"Surveillance":[100],"System":[101],"(BRFSS)":[102],"dataset,":[104,226],"classify":[106],"diabetes.":[107],"proposed":[109,146],"consists":[111],"random":[114,153,201],"oversampling":[115],"method":[116],"balance":[118],"range":[120,125],"classes,":[122],"interquartile":[124],"technique-based":[126],"outlier":[127,131],"eliminate":[130],"data,":[132],"Boruta":[135],"selecting":[138],"optimal":[140],"features":[141],"from":[142],"datasets.":[144],"approach":[147],"considers":[148],"ML":[149,179],"algorithms":[150,171,180],"forest,":[154],"gradient":[155,159],"boosting":[156,160],"models,":[157],"light":[158],"classifiers,":[161,208],"decision":[163],"trees,":[164],"they":[166],"are":[167,253],"widely":[168],"used":[169],"prediction.":[174],"We":[175],"evaluated":[176],"all":[177,205],"four":[178],"performance":[182],"indicators":[183],"accuracy,":[186],"F1":[187],"score,":[188],"recall,":[189],"precision,":[190],"AUC-ROC.":[192],"Comparative":[193],"analysis":[194],"suggests":[198],"forest":[202],"outperforms":[204],"remaining":[207],"with":[209],"greatest":[211],"accuracy":[212,222,233],"92%":[214],"BRFSS":[217],"dataset":[219],"94%":[221],"PIDD":[225],"which":[227],"greater":[229],"than":[230],"3%":[232],"reported":[234],"in":[235,245],"existing":[236],"research.":[237],"This":[238],"research":[239],"helpful":[241],"assisting":[243],"diabetologists":[244],"developing":[246],"accurate":[247],"treatment":[248],"regimens":[249],"patients":[251],"who":[252],"diabetic.":[254]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":7}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}