{"id":"https://openalex.org/W4205490331","doi":"https://doi.org/10.1109/upcon52273.2021.9667582","title":"ANFIS based Diabetes Mellitus Prediction","display_name":"ANFIS based Diabetes Mellitus Prediction","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W4205490331","doi":"https://doi.org/10.1109/upcon52273.2021.9667582"},"language":"en","primary_location":{"id":"doi:10.1109/upcon52273.2021.9667582","doi":"https://doi.org/10.1109/upcon52273.2021.9667582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upcon52273.2021.9667582","pdf_url":null,"source":{"id":"https://openalex.org/S4306498267","display_name":"IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","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":"2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5074030178","display_name":"Banibrata Paul","orcid":"https://orcid.org/0000-0003-2663-2260","observed_orcids":["https://orcid.org/0000-0003-2663-2260"]},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Banibrata Paul","raw_affiliation_strings":["Birla Institute of Technology, Mesra Ranchi, Jharkhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology, Mesra Ranchi, Jharkhand, India","institution_ids":["https://openalex.org/I115715567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111258949","display_name":"Bhaskar Karn","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I115715567","display_name":"Birla Institute of Technology, Mesra","ror":"https://ror.org/028vtqb15","country_code":"IN","type":"education","lineage":["https://openalex.org/I115715567"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhaskar Karn","raw_affiliation_strings":["Birla Institute of Technology, Mesra Ranchi, Jharkhand, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology, Mesra Ranchi, Jharkhand, India","institution_ids":["https://openalex.org/I115715567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115715567"],"apc_list":null,"apc_paid":null,"fwci":0.3328,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42311459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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":0.9970999956130981,"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":0.9970999956130981,"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":0.0010000000474974513,"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":0.00019999999494757503,"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":0.9800000190734863},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"adaptive neuro-fuzzy inference system","score":0.9589999914169312},{"id":"https://openalex.org/keywords/subtractive-clustering","display_name":"subtractive clustering","score":0.9929999709129333},{"id":"https://openalex.org/keywords/pima-indians-diabetes-dataset","display_name":"Pima Indians diabetes dataset","score":0.7929999828338623},{"id":"https://openalex.org/keywords/early-diagnosis-of-diabetes","display_name":"early detection of diabetes","score":0.7039999961853027},{"id":"https://openalex.org/keywords/blood-glucose","display_name":"blood glucose","score":0.6370000243186951},{"id":"https://openalex.org/keywords/fuzzy-inference-system","display_name":"fuzzy inference system","score":0.5120000243186951}],"concepts":[{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.9066635966300964},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6103586554527283},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4678519368171692},{"id":"https://openalex.org/C2779306644","wikidata":"https://www.wikidata.org/wiki/Q2002370","display_name":"Insulin","level":2,"score":0.45908182859420776},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45854926109313965},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.43277448415756226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3631363809108734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.247859925031662},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.1981746256351471}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/upcon52273.2021.9667582","doi":"https://doi.org/10.1109/upcon52273.2021.9667582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/upcon52273.2021.9667582","pdf_url":null,"source":{"id":"https://openalex.org/S4306498267","display_name":"IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","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":"2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9537000060081482,"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":8,"referenced_works":["https://openalex.org/W2050312349","https://openalex.org/W2053811650","https://openalex.org/W2183404840","https://openalex.org/W2187980362","https://openalex.org/W2618311571","https://openalex.org/W2956655078","https://openalex.org/W2978392610","https://openalex.org/W6747840115"],"related_works":["https://openalex.org/W7118508255","https://openalex.org/W3145767299","https://openalex.org/W3081847275","https://openalex.org/W7217632956","https://openalex.org/W4298012359","https://openalex.org/W4206737589","https://openalex.org/W2557431460","https://openalex.org/W4406677864","https://openalex.org/W4225879104","https://openalex.org/W2487064651"],"abstract_inverted_index":{"Diabetes":[0,46,88],"mellitus":[1],"is":[2,41,98],"a":[3,7,37,42,70,130,139],"global":[4],"problem.":[5],"As":[6],"result":[8],"of":[9,17,36,62,75,113,133,135,142,153],"diabetes,":[10],"the":[11,20,34,73,79,114,149],"pancreas":[12],"cannot":[13,23],"produce":[14],"adequate":[15],"amounts":[16],"insulin,":[18,26],"or":[19],"human":[21],"cells":[22],"use":[24],"enough":[25],"that":[27],"it":[28],"produces.":[29],"Blood":[30],"glucose":[31],"rises":[32],"in":[33],"body":[35],"diabetic":[38],"patient.":[39],"It":[40],"common,":[43],"chronic":[44],"disease.":[45],"can":[47,64],"lead":[48,65],"to":[49,66,108],"heart":[50],"attack,":[51],"brain":[52],"stroke,":[53],"kidney":[54],"disease,":[55],"myopia,":[56],"early":[57],"death,":[58],"etc.":[59],"Early":[60],"detection":[61,74],"diabetes":[63,76,104,154],"advanced":[67],"treatment.We":[68],"present":[69],"study":[71],"on":[72,117],"disease":[77,155],"through":[78],"ANFIS":[80],"based":[81],"Subtractive":[82],"Clustering":[83],"Method.":[84],"The":[85,96,111,121],"PIMA":[86],"Indian":[87],"(PID)":[89],"dataset":[90],"has":[91],"been":[92],"used":[93],"from":[94,102],"Kaggle.":[95],"network":[97],"trained":[99],"using":[100],"data":[101],"768":[103],"patients":[105],"aged":[106],"21":[107],"81":[109],"years.":[110],"accuracy":[112,134,141],"results":[115,146],"depends":[116],"different":[118],"clustering":[119],"radius.":[120],"proposed":[122],"system":[123],"uses":[124],"8":[125],"input":[126],"attributes":[127],"and":[128,138,151],"provides":[129],"minimum":[131],"percentage":[132],"79.1304":[136],"%":[137,144],"maximum":[140],"99.1304":[143],"accurate":[145],"by":[147],"estimating":[148],"presence":[150],"absence":[152],"during":[156],"testing.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-01-25T00:00:00"}