{"id":"https://openalex.org/W4385299462","doi":"https://doi.org/10.1109/access.2023.3299332","title":"Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier","display_name":"Exploring Hyper-Parameters and Feature Selection for Predicting Non-Communicable Chronic Disease Using Stacking Classifier","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385299462","doi":"https://doi.org/10.1109/access.2023.3299332"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3299332","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299332","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196339.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196339.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036691349","display_name":"Pooja Yadav","orcid":"https://orcid.org/0000-0002-8305-9512"},"institutions":[{"id":"https://openalex.org/I139858224","display_name":"M.J.P. Rohilkhand University","ror":"https://ror.org/02e3nay30","country_code":"IN","type":"education","lineage":["https://openalex.org/I139858224"]},{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pooja Yadav","raw_affiliation_strings":["Electronics and Computer Discipline, DPT, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","Department of Computer Sc. & Information Technology, FET, MJP Rohilkhand University, U.P., India"],"raw_orcid":"https://orcid.org/0000-0002-8305-9512","affiliations":[{"raw_affiliation_string":"Electronics and Computer Discipline, DPT, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Department of Computer Sc. & Information Technology, FET, MJP Rohilkhand University, U.P., India","institution_ids":["https://openalex.org/I139858224"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086840695","display_name":"S. C. Sharma","orcid":"https://orcid.org/0000-0001-8093-7319"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. C. Sharma","raw_affiliation_strings":["Electronics and Computer Discipline, DPT, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India"],"raw_orcid":"https://orcid.org/0000-0001-8093-7319","affiliations":[{"raw_affiliation_string":"Electronics and Computer Discipline, DPT, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083628749","display_name":"Rajesh Mahadeva","orcid":"https://orcid.org/0000-0001-8952-7172"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Rajesh Mahadeva","raw_affiliation_strings":["Department of Physics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0001-8952-7172","affiliations":[{"raw_affiliation_string":"Department of Physics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I176601375"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043059995","display_name":"Shashikant P. Patole","orcid":"https://orcid.org/0000-0001-6669-6635"},"institutions":[{"id":"https://openalex.org/I176601375","display_name":"Khalifa University of Science and Technology","ror":"https://ror.org/05hffr360","country_code":"AE","type":"education","lineage":["https://openalex.org/I176601375"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Shashikant P. Patole","raw_affiliation_strings":["Department of Physics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates"],"raw_orcid":"https://orcid.org/0000-0001-6669-6635","affiliations":[{"raw_affiliation_string":"Department of Physics, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I176601375"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.0006,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97219937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"80030","last_page":"80055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9988999962806702,"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":0.9988999962806702,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9179999828338623,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9157000184059143,"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/feature-selection","display_name":"Feature selection","score":0.7125524282455444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538727879524231},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.6192111372947693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087185144424438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5485334396362305},{"id":"https://openalex.org/keywords/non-communicable-disease","display_name":"Non-communicable disease","score":0.5130216479301453},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4745044410228729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4555943012237549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35874876379966736},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.3487042784690857},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14016813039779663}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7125524282455444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538727879524231},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.6192111372947693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087185144424438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5485334396362305},{"id":"https://openalex.org/C2776577793","wikidata":"https://www.wikidata.org/wiki/Q3137154","display_name":"Non-communicable disease","level":3,"score":0.5130216479301453},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4745044410228729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4555943012237549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35874876379966736},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3487042784690857},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14016813039779663},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3299332","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299332","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196339.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c723168483e94bcf8781571aa29374f2","is_oa":true,"landing_page_url":"https://doaj.org/article/c723168483e94bcf8781571aa29374f2","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 80030-80055 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3299332","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299332","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196339.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321977","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326"},{"id":"https://openalex.org/F4320322334","display_name":"Khalifa University of Science, Technology and Research","ror":"https://ror.org/05hffr360"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385299462.pdf","grobid_xml":"https://content.openalex.org/works/W4385299462.grobid-xml"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W28412257","https://openalex.org/W1553019137","https://openalex.org/W2061438946","https://openalex.org/W2101234009","https://openalex.org/W2107435951","https://openalex.org/W2126623642","https://openalex.org/W2156665896","https://openalex.org/W2416225213","https://openalex.org/W2518045411","https://openalex.org/W2593330790","https://openalex.org/W2610135452","https://openalex.org/W2622382573","https://openalex.org/W2748022024","https://openalex.org/W2795475639","https://openalex.org/W2921196390","https://openalex.org/W2933013505","https://openalex.org/W2937554593","https://openalex.org/W2942796683","https://openalex.org/W2945048168","https://openalex.org/W2946812942","https://openalex.org/W2963989903","https://openalex.org/W2970487695","https://openalex.org/W2973538535","https://openalex.org/W2990291356","https://openalex.org/W2993330300","https://openalex.org/W2997606798","https://openalex.org/W2997982564","https://openalex.org/W3007461849","https://openalex.org/W3012816465","https://openalex.org/W3014690256","https://openalex.org/W3020776760","https://openalex.org/W3034654929","https://openalex.org/W3046918297","https://openalex.org/W3083631411","https://openalex.org/W3103102495","https://openalex.org/W3109650690","https://openalex.org/W3110281866","https://openalex.org/W3125584267","https://openalex.org/W3131601047","https://openalex.org/W3132354867","https://openalex.org/W3136734886","https://openalex.org/W3137532457","https://openalex.org/W3169687406","https://openalex.org/W3172921504","https://openalex.org/W3173818966","https://openalex.org/W3194175849","https://openalex.org/W3194828603","https://openalex.org/W3201551779","https://openalex.org/W3211368727","https://openalex.org/W3217322746","https://openalex.org/W3217381946","https://openalex.org/W4200121103","https://openalex.org/W4200263281","https://openalex.org/W4205625755","https://openalex.org/W4214939615","https://openalex.org/W4220940482","https://openalex.org/W4221125739","https://openalex.org/W4223656261","https://openalex.org/W4223893747","https://openalex.org/W4223994276","https://openalex.org/W4225540162","https://openalex.org/W4229448199","https://openalex.org/W4230269340","https://openalex.org/W4256067422","https://openalex.org/W4280639694","https://openalex.org/W4281252268","https://openalex.org/W4281754202","https://openalex.org/W4283262736","https://openalex.org/W4283719804","https://openalex.org/W4293192647","https://openalex.org/W4293224815","https://openalex.org/W4293771242","https://openalex.org/W4294559022","https://openalex.org/W4295838423","https://openalex.org/W4301180893","https://openalex.org/W4303709772","https://openalex.org/W4307266359","https://openalex.org/W4307703018","https://openalex.org/W4312093812","https://openalex.org/W4313038549","https://openalex.org/W4313644512","https://openalex.org/W6675354045","https://openalex.org/W6695730244","https://openalex.org/W6716593884","https://openalex.org/W6770694622","https://openalex.org/W6791913446"],"related_works":["https://openalex.org/W2035329725","https://openalex.org/W2070875936","https://openalex.org/W4250391473","https://openalex.org/W4302292679","https://openalex.org/W4241625287","https://openalex.org/W2050788868","https://openalex.org/W4295885776","https://openalex.org/W2027634686","https://openalex.org/W3036164038","https://openalex.org/W1546742213"],"abstract_inverted_index":{"Non-communicable":[0],"disease,":[1,4],"especially":[2],"chronic":[3,36,65,90],"is":[5,23,38,47,178],"the":[6,17,33,104,129,137,155,160,173,201,206,209,214,221,232,244,267,271,276,285,288,301],"most":[7],"common":[8],"factor":[9],"of":[10,12,19,28,144,208,246,258,266,287,296,303],"complication":[11],"deteriorating":[13],"physical":[14],"health":[15],"and":[16,30,62,110,184,260],"state":[18],"one\u2019s":[20],"mind.":[21],"It":[22,291],"also":[24,133,283],"a":[25,41,256],"prominent":[26],"cause":[27],"illness":[29,54,79],"mortality":[31],"around":[32],"world.":[34],"Primarily":[35],"disease":[37,66,91],"preventable":[39],"at":[40],"particular":[42],"stage":[43],"though":[44],"its":[45],"occurrence":[46],"critical.":[48],"To":[49,141,243],"make":[50],"clinical":[51,308],"decisions,":[52],"these":[53,261],"prediction":[55,67,210],"models":[56,306],"were":[57],"created":[58],"to":[59,75,88,127,182,204],"assist":[60],"clinicians":[61],"patients.":[63],"A":[64],"model":[68,211],"takes":[69],"into":[70],"account":[71],"many":[72],"risk":[73],"variables":[74],"determine":[76],"an":[77,150,293],"individual\u2019s":[78],"risk.":[80],"Machine":[81,304],"learning":[82],"approaches":[83],"have":[84,119,132,148,191],"made":[85],"it":[86],"possible":[87],"predict":[89],"early":[92],"by":[93,153],"collecting":[94],"Electronic":[95],"Health":[96],"Record":[97],"(EHR)":[98],"data.":[99],"This":[100,197,281],"paper":[101],"focuses":[102],"on":[103,200,225,231,236,240,254,270],"diabetes":[105],"dataset":[106,273],"extracted":[107],"from":[108],"Kaggle":[109],"two":[111,262],"unseen":[112],"real":[113],"datasets.":[114,263],"In":[115],"this":[116,195],"paper,":[117],"we":[118,147],"implemented":[120],"Synthetic":[121,233],"Minority":[122],"Over-Sampling":[123],"Technique":[124],"(SMOTE)":[125],"algorithm":[126,177],"balance":[128],"dataset.":[130,242],"We":[131],"explored":[134],"Boruta":[135],"as":[136],"feature":[138],"selection":[139],"method.":[140],"tune":[142],"hyper-parameters":[143],"different":[145],"algorithms,":[146],"proposed":[149,277,289],"improved":[151],"technique":[152,259],"combining":[154],"Grid":[156,166],"Search":[157,167],"method":[158,168],"with":[159],"Grey":[161,174],"Wolf":[162,175],"Optimization":[163,176],"algorithm.":[164],"The":[165,217,264],"requires":[169],"extensive":[170],"searching,":[171],"while":[172],"easily":[179],"linked,":[180],"rapid":[181],"seek,":[183],"extremely":[185],"exact.":[186],"Nine":[187],"conventional":[188],"classification":[189],"techniques":[190],"been":[192],"evaluated":[193],"in":[194,307],"paper.":[196],"research":[198],"concentrates":[199],"Stacking":[202],"Classifier":[203],"assess":[205],"performance":[207],"that":[212,275],"produces":[213],"best":[215,245],"results.":[216],"Proposed":[218],"Model":[219],"gave":[220],"highest":[222],"F1-Score":[223],"98.84%":[224],"PIMA":[226,272],"dataset,":[227,234,238],"98%":[228],"after":[229],"validation":[230],"97.3%":[235],"ADRC":[237],"96.20%":[239],"FHD":[241],"our":[247],"knowledge,":[248],"no":[249],"previous":[250],"work":[251],"has":[252],"focused":[253],"such":[255],"sort":[257],"outcomes":[265],"comparison":[268],"experiment":[269],"reveals":[274],"strategy":[278],"performs":[279],"better.":[280],"study":[282],"provides":[284],"interpretation":[286],"model.":[290],"conducts":[292],"ethical":[294],"assessment":[295],"what":[297],"explainability":[298],"means":[299],"for":[300],"use":[302],"Learning":[305],"practice.":[309]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8}],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2025-10-10T00:00:00"}
