{"id":"https://openalex.org/W2169773724","doi":"https://doi.org/10.1109/dsde.2010.58","title":"A Novel Classification Method for Diagnosis of Diabetes Mellitus Using Artificial Neural Networks","display_name":"A Novel Classification Method for Diagnosis of Diabetes Mellitus Using Artificial Neural Networks","publication_year":2010,"publication_date":"2010-02-01","ids":{"openalex":"https://openalex.org/W2169773724","doi":"https://doi.org/10.1109/dsde.2010.58","mag":"2169773724"},"language":"en","primary_location":{"id":"doi:10.1109/dsde.2010.58","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsde.2010.58","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Data Storage and Data Engineering","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/A5110629249","display_name":"T Jayalakshmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"T. Jayalakshmi","raw_affiliation_strings":["Computer Science Department, CMS College of Science and Commerce, Coimbatore, India"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, CMS College of Science and Commerce, Coimbatore, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024161324","display_name":"A. Santhakumaran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Santhakumaran","raw_affiliation_strings":["Statistics Department, Salem Sowdeswari College, Salem, India"],"affiliations":[{"raw_affiliation_string":"Statistics Department, Salem Sowdeswari College, Salem, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110629249"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.4823,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.97744854,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9983999729156494,"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":0.9983999729156494,"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9387999773025513,"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/preprocessor","display_name":"Preprocessor","score":0.8143778443336487},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.778141975402832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7462508082389832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7149513363838196},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6441472768783569},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5674666166305542},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5611755847930908},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4360497295856476},{"id":"https://openalex.org/keywords/data-classification","display_name":"Data classification","score":0.4193476736545563},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4125097990036011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39218610525131226},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3905988931655884}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.8143778443336487},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.778141975402832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7462508082389832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7149513363838196},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6441472768783569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5674666166305542},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5611755847930908},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4360497295856476},{"id":"https://openalex.org/C2780724565","wikidata":"https://www.wikidata.org/wiki/Q5227256","display_name":"Data classification","level":2,"score":0.4193476736545563},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4125097990036011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39218610525131226},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3905988931655884}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsde.2010.58","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsde.2010.58","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 International Conference on Data Storage and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1534639110","https://openalex.org/W1567724269","https://openalex.org/W1576712038","https://openalex.org/W1985419027","https://openalex.org/W2011220774","https://openalex.org/W2105358852","https://openalex.org/W2135608788","https://openalex.org/W2147429456","https://openalex.org/W2161694749","https://openalex.org/W2188775514","https://openalex.org/W2272199836","https://openalex.org/W2533379268","https://openalex.org/W2534113208","https://openalex.org/W2535707577","https://openalex.org/W2899279621","https://openalex.org/W4285719527","https://openalex.org/W6675481143","https://openalex.org/W6683712105"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2391683116"],"abstract_inverted_index":{"Many":[0],"real":[1],"world":[2],"problems":[3],"can":[4],"be":[5],"solved":[6],"with":[7],"Artificial":[8,31],"Neural":[9,32],"Networks":[10,33],"in":[11],"the":[12,24,47,54,62,67,79],"areas":[13],"of":[14,23,37,88,99],"pattern":[15],"recognition,":[16],"signal":[17],"processing":[18],"and":[19,78],"medical":[20,25],"diagnosis.":[21],"Most":[22],"data":[26,38],"set":[27,36],"is":[28,102],"seldom":[29],"complete.":[30],"require":[34],"complete":[35],"for":[39],"an":[40,95],"accurate":[41],"classification.":[42,68],"This":[43],"paper":[44],"dwells":[45],"on":[46,64],"various":[48],"missing":[49],"value":[50],"techniques":[51],"to":[52,73],"improve":[53],"classification":[55,97],"accuracy.":[56],"The":[57,91],"proposed":[58],"system":[59,93],"also":[60],"investigates":[61],"impact":[63],"preprocessing":[65,89],"during":[66],"A":[69],"classifier":[70],"was":[71],"applied":[72],"Pima":[74],"Indian":[75],"Diabetes":[76],"Dataset":[77],"results":[80],"were":[81],"improved":[82],"tremendously":[83],"when":[84],"using":[85],"certain":[86],"combination":[87],"techniques.":[90],"experimental":[92],"achieves":[94],"excellent":[96],"accuracy":[98],"99%":[100],"which":[101],"best":[103],"than":[104],"before.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":10},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}