{"id":"https://openalex.org/W7124852182","doi":"https://doi.org/10.1109/iccca66364.2025.11325497","title":"Computational Design and Simulation of Diabetes Risk Assessment Models Based on NSGA-II Integrated Artificial Neural Networks","display_name":"Computational Design and Simulation of Diabetes Risk Assessment Models Based on NSGA-II Integrated Artificial Neural Networks","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7124852182","doi":"https://doi.org/10.1109/iccca66364.2025.11325497"},"language":null,"primary_location":{"id":"doi:10.1109/iccca66364.2025.11325497","doi":"https://doi.org/10.1109/iccca66364.2025.11325497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccca66364.2025.11325497","pdf_url":null,"source":{"id":"https://openalex.org/S4363608100","display_name":"IEEE International Conference on Computing, Communication and Automation (ICCCA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5123413473","display_name":"Shiv Prakash Kichara","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I91894341","display_name":"Gyan Vihar University","ror":"https://ror.org/048q3sh29","country_code":"IN","type":"education","lineage":["https://openalex.org/I91894341"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shiv Prakash Kichara","raw_affiliation_strings":["Suresh Gyan Vihar University,Department of Computer Science &Engineering,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suresh Gyan Vihar University,Department of Computer Science &Engineering,Jaipur,India","institution_ids":["https://openalex.org/I91894341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026577392","display_name":"Amit Tiwari","orcid":"https://orcid.org/0000-0002-0805-202X","observed_orcids":["https://orcid.org/0000-0002-0805-202X"]},"institutions":[{"id":"https://openalex.org/I91894341","display_name":"Gyan Vihar University","ror":"https://ror.org/048q3sh29","country_code":"IN","type":"education","lineage":["https://openalex.org/I91894341"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Tiwari","raw_affiliation_strings":["Suresh Gyan Vihar University,Department of Mechanical Engineering,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suresh Gyan Vihar University,Department of Mechanical Engineering,Jaipur,India","institution_ids":["https://openalex.org/I91894341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050394735","display_name":"Mukesh Kumar Gupta","orcid":"https://orcid.org/0000-0002-4907-0259","observed_orcids":["https://orcid.org/0000-0002-4907-0259"]},"institutions":[{"id":"https://openalex.org/I91894341","display_name":"Gyan Vihar University","ror":"https://ror.org/048q3sh29","country_code":"IN","type":"education","lineage":["https://openalex.org/I91894341"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mukesh Kumar Gupta","raw_affiliation_strings":["Suresh Gyan Vihar University,Department of Electrical Engineering,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suresh Gyan Vihar University,Department of Electrical Engineering,Jaipur,India","institution_ids":["https://openalex.org/I91894341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036680532","display_name":"Himanshu Vasnani","orcid":"https://orcid.org/0000-0002-3617-5924","observed_orcids":["https://orcid.org/0000-0002-3617-5924"]},"institutions":[{"id":"https://openalex.org/I91894341","display_name":"Gyan Vihar University","ror":"https://ror.org/048q3sh29","country_code":"IN","type":"education","lineage":["https://openalex.org/I91894341"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Himanshu Vasnani","raw_affiliation_strings":["Suresh Gyan Vihar University,Department of Mechanical Engineering,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suresh Gyan Vihar University,Department of Mechanical Engineering,Jaipur,India","institution_ids":["https://openalex.org/I91894341"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116161354","display_name":"Neny Pandel","orcid":"https://orcid.org/0009-0002-1516-8837","observed_orcids":["https://orcid.org/0009-0002-1516-8837"]},"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":"Neny Pandel","raw_affiliation_strings":["FoSTA Manipal University,School of Computer Science& Engineering,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FoSTA Manipal University,School of Computer Science& Engineering,Jaipur,India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104666500","display_name":"Manas Mathur","orcid":"https://orcid.org/0000-0003-0970-6096","observed_orcids":["https://orcid.org/0000-0003-0970-6096"]},"institutions":[{"id":"https://openalex.org/I91894341","display_name":"Gyan Vihar University","ror":"https://ror.org/048q3sh29","country_code":"IN","type":"education","lineage":["https://openalex.org/I91894341"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manas Mathur","raw_affiliation_strings":["Suresh Gyan Vihar University,School of Agriculture,Jaipur,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suresh Gyan Vihar University,School of Agriculture,Jaipur,India","institution_ids":["https://openalex.org/I91894341"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51725725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9945999979972839,"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":0.9945999979972839,"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":0.00039999998989515007,"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/T11140","display_name":"Natural Antidiabetic Agents Studies","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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-risk-assessment","display_name":"diabetes risk assessment","score":0.9070000052452087},{"id":"https://openalex.org/keywords/diabetes-complications","display_name":"diabetes complications","score":0.7129999995231628},{"id":"https://openalex.org/keywords/nsga-ii","display_name":"NSGA-II","score":0.8550000190734863},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8840000033378601},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9819999933242798},{"id":"https://openalex.org/keywords/hba1c-prediction","display_name":"HbA1c prediction","score":0.8600000143051147},{"id":"https://openalex.org/keywords/fasting-blood-glucose","display_name":"fasting blood glucose","score":0.6510000228881836},{"id":"https://openalex.org/keywords/postprandial-blood-glucose","display_name":"postprandial blood glucose","score":0.9919999837875366},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"body mass index","score":0.9490000009536743},{"id":"https://openalex.org/keywords/exercise","display_name":"physical activity","score":0.9760000109672546},{"id":"https://openalex.org/keywords/diabetes-prevention","display_name":"diabetes prevention","score":0.5149999856948853}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6851000189781189},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.5619999766349792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5432000160217285},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.5295000076293945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5156999826431274},{"id":"https://openalex.org/C2778199505","wikidata":"https://www.wikidata.org/wiki/Q2992990","display_name":"Postprandial","level":3,"score":0.4909999966621399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4867999851703644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43549999594688416},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4113999903202057},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.40790000557899475},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3197000026702881},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.3021000027656555},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C50440223","wikidata":"https://www.wikidata.org/wiki/Q1475848","display_name":"Risk factor","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C11783203","wikidata":"https://www.wikidata.org/wiki/Q5478027","display_name":"Framingham Risk Score","level":3,"score":0.25440001487731934}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccca66364.2025.11325497","doi":"https://doi.org/10.1109/iccca66364.2025.11325497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccca66364.2025.11325497","pdf_url":null,"source":{"id":"https://openalex.org/S4363608100","display_name":"IEEE International Conference on Computing, Communication and Automation (ICCCA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2025 IEEE 7th International Conference on Computing, Communication and Automation (ICCCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9763000011444092}],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.47392013669013977}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2125443015","https://openalex.org/W3007939291","https://openalex.org/W3084346878","https://openalex.org/W3108105790","https://openalex.org/W4405187673","https://openalex.org/W4405926731","https://openalex.org/W4407830937","https://openalex.org/W4408900440","https://openalex.org/W4409613287","https://openalex.org/W4411941860","https://openalex.org/W4412046173"],"related_works":[],"abstract_inverted_index":{"The":[0,44],"rising":[1],"prevalence":[2],"of":[3,9,34,69,94,98,109,114],"diabetes":[4,40,169],"and":[5,42,56,59,74,100,125,153,165],"its":[6],"associated":[7],"risk":[8,41,152],"long-term":[10],"complications":[11],"pose":[12],"a":[13,21,91,96,106,112,144],"significant":[14],"global":[15],"public":[16],"health":[17],"challenge.":[18],"We":[19],"introduce":[20],"hybrid":[22],"prediction":[23],"framework":[24],"combining":[25],"Artificial":[26],"Neural":[27],"Networks":[28],"(ANN)":[29],"with":[30,66,83,111,129],"the":[31,63,84,101,139],"optimization":[32],"power":[33],"NSGA-II":[35],"to":[36,132,142],"more":[37],"effectively":[38],"assess":[39],"complications.":[43],"ANN":[45],"takes":[46],"inputs":[47],"such":[48],"as":[49],"Age,":[50],"BMI,":[51],"Fasting":[52],"Glucose,":[53,55],"Postprandial":[54],"Physical":[57],"Activity,":[58],"is":[60,138],"trained":[61],"using":[62],"Levenberg\u2013Marquardt":[64],"algorithm":[65],"data":[67],"splits":[68],"70%":[70],"training,":[71],"15%":[72,75],"validation,":[73],"testing.":[76],"This":[77,156],"approach":[78,147],"achieved":[79],"strong":[80],"predictive":[81],"performance,":[82],"Risk":[85],"Probability":[86],"Score":[87],"(HbA1c":[88],"%)":[89],"reaching":[90,105],"best":[92,107],"value":[93,108],"6.6957,":[95],"mean":[97,113],"6.6958,":[99],"Diabetes":[102],"Complication":[103],"Index":[104],"0.6236,":[110],"0.6235.":[115],"Regression":[116],"analysis":[117],"showed":[118],"very":[119],"high":[120],"correlations":[121],"(R":[122],"=":[123,127],"0.9689":[124],"R":[126],"0.9892),":[128],"MSE":[130],"minimized":[131],"0.0004378":[133],"for":[134,167],"DCI.":[135],"Notably,":[136],"this":[137],"first":[140],"study":[141],"implement":[143],"multi-objective":[145],"ANN\u2013NSGA-II":[146],"that":[148],"concurrently":[149],"optimizes":[150],"both":[151],"complication":[154],"indices.":[155],"methodology":[157],"supports":[158],"applications":[159],"in":[160],"clinical":[161],"decision-making,":[162],"personalized":[163],"healthcare,":[164],"strategies":[166],"preventive":[168],"management.":[170]},"counts_by_year":[],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2026-01-21T00:00:00"}