{"id":"https://openalex.org/W4388951019","doi":"https://doi.org/10.1109/icccnt56998.2023.10306988","title":"Assessment of deep neural network for prediction of chronic kidney disease","display_name":"Assessment of deep neural network for prediction of chronic kidney disease","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388951019","doi":"https://doi.org/10.1109/icccnt56998.2023.10306988"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10306988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th 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/A5055828696","display_name":"Neetu Gupta","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":"Neetu Gupta","raw_affiliation_strings":["Manipal University,Department of Computer Science & Engineering,Jaipur,Rajasthan,India"],"affiliations":[{"raw_affiliation_string":"Manipal University,Department of Computer Science & Engineering,Jaipur,Rajasthan,India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083534249","display_name":"Hemant Gupta","orcid":"https://orcid.org/0000-0002-6830-9413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hemant Kumar Gupta","raw_affiliation_strings":["Arya College of Engineering & I.T.,Department of Electronics & Communication Engineering,Jaipur,Rajasthan,India"],"affiliations":[{"raw_affiliation_string":"Arya College of Engineering & I.T.,Department of Electronics & Communication Engineering,Jaipur,Rajasthan,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018611575","display_name":"S. Vaishali","orcid":"https://orcid.org/0000-0002-8414-9755"},"institutions":[{"id":"https://openalex.org/I4387152492","display_name":"Vaagdevi College of Engineering","ror":"https://ror.org/00m6fsq13","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152492"]},{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Vaishali","raw_affiliation_strings":["Vaagdevi College of Engineering,Department of Electronics & Communication Engineering,Warangal,Telangana,India","Department of Electronics & Communication Engineering, Vaagdevi College of Engineering, Warangal, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Vaagdevi College of Engineering,Department of Electronics & Communication Engineering,Warangal,Telangana,India","institution_ids":["https://openalex.org/I121750182","https://openalex.org/I4387152492"]},{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Vaagdevi College of Engineering, Warangal, Telangana, India","institution_ids":["https://openalex.org/I4387152492","https://openalex.org/I121750182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104202226","display_name":"Bobbala Sreedevi","orcid":null},"institutions":[{"id":"https://openalex.org/I121750182","display_name":"National Institute of Technology Warangal","ror":"https://ror.org/017ebfz38","country_code":"IN","type":"education","lineage":["https://openalex.org/I121750182"]},{"id":"https://openalex.org/I4387152492","display_name":"Vaagdevi College of Engineering","ror":"https://ror.org/00m6fsq13","country_code":null,"type":"education","lineage":["https://openalex.org/I4387152492"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bobbala Sreedevi","raw_affiliation_strings":["Vaagdevi College of Engineering,Department of Electronics & Communication Engineering,Warangal,Telangana,India","Department of Electronics & Communication Engineering, Vaagdevi College of Engineering, Warangal, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Vaagdevi College of Engineering,Department of Electronics & Communication Engineering,Warangal,Telangana,India","institution_ids":["https://openalex.org/I121750182","https://openalex.org/I4387152492"]},{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Vaagdevi College of Engineering, Warangal, Telangana, India","institution_ids":["https://openalex.org/I4387152492","https://openalex.org/I121750182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055828696"],"corresponding_institution_ids":["https://openalex.org/I164861460"],"apc_list":null,"apc_paid":null,"fwci":0.3752,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72737069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9975000023841858,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7535766363143921},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7258265018463135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7156753540039062},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.670649528503418},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6324187517166138},{"id":"https://openalex.org/keywords/kidney-disease","display_name":"Kidney disease","score":0.627602219581604},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5845090746879578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5707530975341797},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5060028433799744},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38800349831581116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3292790651321411},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.13366195559501648}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7535766363143921},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7258265018463135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7156753540039062},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.670649528503418},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6324187517166138},{"id":"https://openalex.org/C2778653478","wikidata":"https://www.wikidata.org/wiki/Q1054718","display_name":"Kidney disease","level":2,"score":0.627602219581604},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5845090746879578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5707530975341797},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5060028433799744},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38800349831581116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3292790651321411},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.13366195559501648},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10306988","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10306988","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1989474226","https://openalex.org/W2033621846","https://openalex.org/W2137443695","https://openalex.org/W2464795325","https://openalex.org/W2475875369","https://openalex.org/W2560015483","https://openalex.org/W2566478702","https://openalex.org/W2587816907","https://openalex.org/W2593330790","https://openalex.org/W2752073414","https://openalex.org/W2897257410","https://openalex.org/W2897733270","https://openalex.org/W2940596626","https://openalex.org/W2997177758","https://openalex.org/W3021399285","https://openalex.org/W3172921504","https://openalex.org/W4206512547","https://openalex.org/W4210409927","https://openalex.org/W4312944399","https://openalex.org/W6743193160"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"This":[0,32],"study":[1],"uses":[2],"deep":[3,47,94,114],"learning":[4,132],"techniques":[5],"to":[6,14,28,50,57,83],"detect":[7],"chronic":[8,59],"kidney":[9,30,60],"disease":[10],"at":[11],"earlier":[12],"stage":[13],"aid":[15],"in":[16,53,88,145],"its":[17],"prevention.":[18],"Disorders":[19],"that":[20,43,136],"affect":[21],"the":[22,73,75,78,89,104,137],"kidney's":[23],"natural":[24],"function":[25],"are":[26],"referred":[27],"as":[29],"diseases.":[31],"research":[33],"recommends":[34],"using":[35],"a":[36,62],"perceptron":[37],"classifier":[38,42],"with":[39,67,128,141],"multiple":[40],"layers":[41],"is":[44,117,126],"based":[45],"on":[46],"neural":[48,95,115],"networks":[49],"identify":[51],"CKD":[52],"patients.":[54],"In":[55,110],"order":[56],"diagnose":[58],"disease,":[61],"database":[63],"of":[64,77,123],"400":[65],"individuals":[66],"25":[68],"attributes":[69,80],"was":[70],"employed.":[71],"For":[72],"tests,":[74],"means":[76],"respective":[79],"were":[81,99],"used":[82],"replace":[84],"each":[85],"missing":[86],"value":[87],"original":[90],"data":[91],"set.":[92],"The":[93,121],"network's":[96],"optimal":[97],"parameters":[98,105],"then":[100],"produced":[101],"by":[102],"fine-tuning":[103],"and":[106,119],"running":[107],"several":[108],"trials.":[109],"this":[111],"research,":[112],"A":[113],"network":[116],"designed":[118],"developed.":[120],"performance":[122],"proposed":[124,138],"model":[125,139],"compared":[127],"various":[129],"cutting-edge":[130],"machine":[131],"techniques.":[133],"Experiments":[134],"show":[135],"performs":[140],"99.85%":[142],"testing":[143],"accuracy":[144],"classification":[146],"tasks.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}