{"id":"https://openalex.org/W3006938653","doi":null,"title":"Prediction of Diabetes using Artificial Neural Network Classification Technique","display_name":"Prediction of Diabetes using Artificial Neural Network Classification Technique","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3006938653","mag":"3006938653"},"language":"en","primary_location":{"id":"mag:3006938653","doi":null,"is_oa":false,"landing_page_url":"https://www.jetir.org/papers/JETIRDB06002.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764944466","display_name":"Journal of Emerging Technologies and Innovative Research","issn_l":"2349-5162","issn":["2349-5162"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322546156","host_organization_name":"Journal of Emerging Technologies and Innovative Research (JETIR)","host_organization_lineage":["https://openalex.org/P4322546156"],"host_organization_lineage_names":["Journal of Emerging Technologies and Innovative Research (JETIR)"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Emerging Technologies and Innovative Research","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5047742096","display_name":"M. A. P. Manimekalai","orcid":"https://orcid.org/0000-0001-8854-4579","observed_orcids":["https://orcid.org/0000-0001-8854-4579"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. A. P. Manimekalai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101656407","display_name":"Divya S N","orcid":"https://orcid.org/0009-0005-1353-1841","observed_orcids":["https://orcid.org/0009-0005-1353-1841"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S Divya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":"6","issue":"6","first_page":"9-13","last_page":"9-13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00019999999494757503,"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":9.999999747378752e-05,"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-prediction","display_name":"diabetes prediction","score":1.0},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8019999861717224},{"id":"https://openalex.org/keywords/pima-indians-diabetes-dataset","display_name":"Pima Indians diabetes dataset","score":0.8149999976158142},{"id":"https://openalex.org/keywords/early-diagnosis","display_name":"early diagnosis","score":0.5889999866485596},{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.4690000116825104},{"id":"https://openalex.org/keywords/diabetes-risk-prediction","display_name":"diabetes risk prediction","score":0.4659999907016754}],"concepts":[{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.8346998691558838},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6847662925720215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6224452257156372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5493282675743103},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5460994839668274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5322142839431763},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5126899480819702},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47064727544784546},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.42244064807891846},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19016650319099426},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.12495043873786926},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.09309086203575134},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3006938653","doi":null,"is_oa":false,"landing_page_url":"https://www.jetir.org/papers/JETIRDB06002.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764944466","display_name":"Journal of Emerging Technologies and Innovative Research","issn_l":"2349-5162","issn":["2349-5162"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4322546156","host_organization_name":"Journal of Emerging Technologies and Innovative Research (JETIR)","host_organization_lineage":["https://openalex.org/P4322546156"],"host_organization_lineage_names":["Journal of Emerging Technologies and Innovative Research (JETIR)"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Emerging Technologies and Innovative Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.9537000060081482}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2612292012","https://openalex.org/W2796736866","https://openalex.org/W2954455075","https://openalex.org/W3177009516"],"related_works":["https://openalex.org/W2898880747","https://openalex.org/W2965591119","https://openalex.org/W4391331499","https://openalex.org/W4206294412","https://openalex.org/W4384008333","https://openalex.org/W3133892966","https://openalex.org/W2999545566","https://openalex.org/W4285815403","https://openalex.org/W4385934666","https://openalex.org/W4316660403"],"abstract_inverted_index":{"Diabetes":[0,13],"is":[1,14,111,136,194,220],"one":[2],"of":[3,7,43,59,70,99,108,149,162,171,176,200],"the":[4,8,11,22,31,36,56,68,76,81,117,129,141,169,187,198,208,229],"major":[5],"diseases":[6],"population":[9],"across":[10],"world.":[12],"a":[15,95,106,146,152,159,223],"chronic":[16],"disease":[17],"that":[18],"occurs":[19],"either":[20],"when":[21,30],"pancreas":[23],"does":[24],"not":[25],"produce":[26],"enough":[27],"insulin":[28,37],"or":[29],"body":[32],"cannot":[33],"efficiently":[34],"use":[35],"it":[38,219],"produces.":[39],"In":[40,52,101,155],"2014,":[41],"8.5%":[42],"adults":[44],"aged":[45],"18":[46],"years":[47],"and":[48,63,87,115],"older":[49],"had":[50],"diabetes.":[51,172,191],"2012,":[53],"diabetes":[54,78,118,130,201],"was":[55,67,165,183],"direct":[57],"cause":[58,69],"1.5":[60],"million":[61,73],"deaths":[62],"high":[64],"blood":[65,83],"glucose":[66],"another":[71],"2.2":[72],"deaths.":[74],"Over":[75],"time,":[77],"can":[79,91,214],"damage":[80],"heart,":[82],"vessels,":[84],"eyes,":[85],"kidneys,":[86],"nerves.":[88],"Early":[89],"diagnosis":[90],"be":[92],"made":[93],"through":[94],"relatively":[96],"inexpensive":[97],"method":[98],"computation.":[100],"this":[102,135,156],"paper,":[103],"Machine":[104,177],"Learning,":[105],"branch":[107],"Artificial":[109,179],"Intelligence":[110],"used":[112],"to":[113,127,167,189],"analyze":[114],"make":[116],"prediction":[119],"model.":[120],"Various":[121],"researchers":[122],"have":[123],"also":[124],"been":[125],"done":[126],"predict":[128,168,190],"machine":[131],"learning":[132],"algorithm,":[133],"but":[134],"an":[137],"additional":[138],"effort":[139],"in":[140,151,228],"research":[142,157],"work":[143],"based":[144],"on":[145],"specific":[147,153],"type":[148],"patient":[150],"community.":[154],"work,":[158],"data":[160,227],"sample":[161,209,225],"Pima":[163],"Indians":[164],"taken":[166],"possibility":[170,199],"Among":[173],"several":[174],"algorithms":[175],"learning,":[178],"Neural":[180],"Network":[181],"(ANN)":[182],"chosen":[184],"for":[185,196],"building":[186],"model":[188,193,213],"This":[192,212],"ideal":[195],"predicting":[197],"with":[202,207,222],"92%":[203],"accuracy":[204,217],"while":[205],"tested":[206],"test":[210],"data.":[211],"achieve":[215],"more":[216],"if":[218],"trained":[221],"large":[224],"training":[226],"future.":[230]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2020-03-06T00:00:00"}