{"id":"https://openalex.org/W7204173254","doi":"https://doi.org/10.56042/jsir.v85i5.27426","title":"Assessment of Early Diabetes Risk through a Random Forest Classifier","display_name":"Assessment of Early Diabetes Risk through a Random Forest Classifier","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7204173254","doi":"https://doi.org/10.56042/jsir.v85i5.27426"},"language":"en","primary_location":{"id":"doi:10.56042/jsir.v85i5.27426","doi":"https://doi.org/10.56042/jsir.v85i5.27426","is_oa":true,"landing_page_url":"https://doi.org/10.56042/jsir.v85i5.27426","pdf_url":null,"source":{"id":"https://openalex.org/S20781845","display_name":"Journal of Scientific & Industrial Research","issn_l":"0022-4456","issn":["0022-4456","0970-5740","0975-1084"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318680","host_organization_name":"NISCAIR","host_organization_lineage":["https://openalex.org/P4310318680","https://openalex.org/P4310318672"],"host_organization_lineage_names":["NISCAIR","Council of Scientific and Industrial Research"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific & Industrial Research","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7204173254"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.56042/jsir.v85i5.27426","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104987461","display_name":"Pragati Choudhari","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210096567","display_name":"D Y Patil International University","ror":"https://ror.org/0116dk457","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210096567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pragati Choudhari","raw_affiliation_strings":["School of Computer Science Engineering & Applications, D Y Patil International University, Akurdi, Pune 412 101, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Engineering & Applications, D Y Patil International University, Akurdi, Pune 412 101, Maharashtra, India","institution_ids":["https://openalex.org/I4210096567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042485026","display_name":"Shalini Sharma Goel","orcid":"https://orcid.org/0000-0003-1404-9641","observed_orcids":["https://orcid.org/0000-0003-1404-9641"]},"institutions":[{"id":"https://openalex.org/I4405260563","display_name":"IIMT College of Engineering, Greater Noida","ror":"https://ror.org/03yvfj659","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405260563"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shalini Goel","raw_affiliation_strings":["Department of Artificial Intelligence & Data Science, IIMT College of Engineering, Greater Noida 201 310, Uttar Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence & Data Science, IIMT College of Engineering, Greater Noida 201 310, Uttar Pradesh, India","institution_ids":["https://openalex.org/I4405260563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148071341","display_name":"Sinu Nambiar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210088227","display_name":"MIT World Peace University","ror":"https://ror.org/004ymxd45","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210088227"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sinu Nambiar","raw_affiliation_strings":["Department of Computer Engineering & Technology, Dr Vishwanath Karad MIT World Peace University, Pune 411 038, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering & Technology, Dr Vishwanath Karad MIT World Peace University, Pune 411 038, Maharashtra, India","institution_ids":["https://openalex.org/I4210088227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121469944","display_name":"Sushama Shirke","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405285474","display_name":"Army Institute of Technology, Pune","ror":"https://ror.org/05gqbhv12","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405285474"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sushama Shirke","raw_affiliation_strings":["Department of Computer Engineering, Army Institute of Technology, Dighi Hills, Pune 411 015, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Army Institute of Technology, Dighi Hills, Pune 411 015, Maharashtra, India","institution_ids":["https://openalex.org/I4405285474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070673923","display_name":"Rupali A. Mangrule","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rupali Mangrule","raw_affiliation_strings":["Department of Computer Science and Engineering, Maharashtra Institute of Technology, Chhatrapati Sambhajinagar 431 010,  Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Maharashtra Institute of Technology, Chhatrapati Sambhajinagar 431 010,  Maharashtra, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021232420","display_name":"Jyoti B. Deone","orcid":"https://orcid.org/0000-0003-4102-5645","observed_orcids":["https://orcid.org/0000-0003-4102-5645"]},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"DY Patil Deemed to be University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyoti Deone","raw_affiliation_strings":["Department of Information Technology, D.Y. Patil Deemed to be University RAIT, Navi Mumbai 400 706, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology, D.Y. Patil Deemed to be University RAIT, Navi Mumbai 400 706, Maharashtra, India","institution_ids":["https://openalex.org/I4210153931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055984327","display_name":"Anant Sidhappa Kurhade","orcid":"https://orcid.org/0000-0003-3798-9804","observed_orcids":["https://orcid.org/0000-0003-3798-9804"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anant Sidhappa Kurhade","raw_affiliation_strings":["Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Sant Tukaram Nagar, Pimpri,  Pune \u2013 411 018, Maharashtra, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Dr. D. Y. Patil Institute of Technology, Sant Tukaram Nagar, Pimpri,  Pune \u2013 411 018, Maharashtra, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"85","issue":"5","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":1.0,"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":1.0,"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":9.999999747378752e-05,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.0,"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/early-diagnosis-of-diabetes","display_name":"early detection of diabetes","score":0.7990000247955322},{"id":"https://openalex.org/keywords/diabetes-risk-assessment","display_name":"diabetes risk assessment","score":0.7940000295639038},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9210000038146973},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.6449999809265137},{"id":"https://openalex.org/keywords/medical-data-classification","display_name":"medical data classification","score":0.4410000145435333},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"diagnostic accuracy","score":0.531000018119812},{"id":"https://openalex.org/keywords/clinical-screening","display_name":"clinical screening","score":0.4059999883174896}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8939999938011169},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6711000204086304},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6215999722480774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490000247955322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5440000295639038},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44339999556541443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41260001063346863},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.40549999475479126},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.34369999170303345},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.31529998779296875},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3086000084877014},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.250900000333786},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56042/jsir.v85i5.27426","doi":"https://doi.org/10.56042/jsir.v85i5.27426","is_oa":true,"landing_page_url":"https://doi.org/10.56042/jsir.v85i5.27426","pdf_url":null,"source":{"id":"https://openalex.org/S20781845","display_name":"Journal of Scientific & Industrial Research","issn_l":"0022-4456","issn":["0022-4456","0970-5740","0975-1084"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318680","host_organization_name":"NISCAIR","host_organization_lineage":["https://openalex.org/P4310318680","https://openalex.org/P4310318672"],"host_organization_lineage_names":["NISCAIR","Council of Scientific and Industrial Research"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific & Industrial Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.56042/jsir.v85i5.27426","doi":"https://doi.org/10.56042/jsir.v85i5.27426","is_oa":true,"landing_page_url":"https://doi.org/10.56042/jsir.v85i5.27426","pdf_url":null,"source":{"id":"https://openalex.org/S20781845","display_name":"Journal of Scientific & Industrial Research","issn_l":"0022-4456","issn":["0022-4456","0970-5740","0975-1084"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","norway-1","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310318680","host_organization_name":"NISCAIR","host_organization_lineage":["https://openalex.org/P4310318680","https://openalex.org/P4310318672"],"host_organization_lineage_names":["NISCAIR","Council of Scientific and Industrial Research"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Scientific & Industrial Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9763000011444092,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4412036302","https://openalex.org/W4392751875","https://openalex.org/W4416342426","https://openalex.org/W7221228484","https://openalex.org/W4320801802","https://openalex.org/W7127629871","https://openalex.org/W4408240956","https://openalex.org/W7140141902","https://openalex.org/W4361022460","https://openalex.org/W4413978929"],"abstract_inverted_index":{"The":[0,27,41,89,104,141],"purpose":[1],"of":[2,15,47,96,179],"the":[3,30,60,148,177],"study":[4],"was":[5],"to":[6,78],"develop":[7],"an":[8,112],"efficient":[9,113],"machine-learning":[10],"model":[11,31,105],"for":[12,59,85,136,150,170,184],"early":[13,185],"detection":[14],"diabetes":[16,186],"employing":[17],"Random":[18],"Forest":[19],"algorithm":[20],"based":[21],"on":[22,156],"a":[23,44],"systematic":[24],"workflow":[25],"KDD.":[26],"findings":[28],"indicate":[29],"has":[32],"good":[33,67,86],"overall":[34],"diagnostic":[35],"utility":[36],"and":[37,56,144,166,189],"consistent":[38,97],"predictive":[39],"performance.":[40],"outcomes":[42],"showed":[43],"reliable":[45],"performance":[46],"case":[48],"classification":[49,98],"85%":[50],"accuracy,":[51],"78%":[52],"specificity,":[53],"75%":[54],"recall":[55],"86%":[57],"AUC":[58,91],"proposal":[61],"random":[62],"forest":[63],"model,":[64],"which":[65,82,132],"is":[66,83,93],"in":[68,138],"distinguishing":[69],"diabetic":[70],"&":[71],"nondiabetic":[72],"cases.":[73],"This":[74],"higher":[75],"specificity":[76],"translates":[77],"fewer":[79],"false-positive":[80],"predictions,":[81],"necessary":[84,128],"clinical":[87,107,190],"screening.":[88],"high":[90],"value":[92],"also":[94],"evidence":[95],"ability":[99],"across":[100],"various":[101],"threshold":[102],"levels.":[103],"addressed":[106],"data":[108,123],"variability":[109],"successfully":[110],"with":[111],"machine":[114,181],"learning":[115,182],"solution":[116],"where":[117],"complex":[118],"feature":[119],"engineering":[120],"or":[121],"advanced":[122],"balance":[124],"techniques":[125,165],"were":[126],"neither":[127],"nor":[129],"segment":[130],"specific,":[131],"makes":[133],"it":[134],"appropriate":[135],"application":[137],"real-world":[139],"healthcare.":[140],"proposed":[142],"framework":[143],"tools":[145],"will":[146],"lay":[147],"foundation":[149],"future":[151],"developments,":[152],"such":[153],"as":[154],"validation":[155],"larger,":[157],"more":[158],"diverse":[159],"datasets,":[160],"sensitivity":[161],"improvements":[162],"using":[163],"optimization":[164],"deployment":[167],"through":[168],"APIs":[169],"real-time":[171],"healthcare":[172],"systems.":[173],"These":[174],"results":[175],"underscore":[176],"promise":[178],"structured":[180],"approaches":[183],"risk":[187],"evaluation":[188],"decision":[191],"support.":[192]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2026-08-26T00:00:00"}