{"id":"https://openalex.org/W4239908879","doi":"https://doi.org/10.4018/978-1-7998-9023-2.ch053","title":"Decision Support System for Diabetes Classification Using Data Mining Techniques","display_name":"Decision Support System for Diabetes Classification Using Data Mining Techniques","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W4239908879","doi":"https://doi.org/10.4018/978-1-7998-9023-2.ch053"},"language":"en","primary_location":{"id":"doi:10.4018/978-1-7998-9023-2.ch053","doi":"https://doi.org/10.4018/978-1-7998-9023-2.ch053","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-7998-9023-2.ch053","pdf_url":null,"source":{"id":"https://openalex.org/S4306463409","display_name":"IGI Global eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4253326646","display_name":"Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering"},"type":"book-chapter","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/A5050766020","display_name":"Ahmad M. Al-Khasawneh","orcid":"https://orcid.org/0000-0002-9786-1653","observed_orcids":["https://orcid.org/0000-0002-9786-1653"]},"institutions":[{"id":"https://openalex.org/I157392197","display_name":"Hashemite University","ror":"https://ror.org/04a1r5z94","country_code":"JO","type":"education","lineage":["https://openalex.org/I157392197"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Ahmad M. Al-Khasawneh","raw_affiliation_strings":["Hashemite University, Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hashemite University, Jordan","institution_ids":["https://openalex.org/I157392197"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050766020"],"corresponding_institution_ids":["https://openalex.org/I157392197"],"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":null,"issue":null,"first_page":"1091","last_page":"1113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9984999895095825,"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":0.9984999895095825,"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":0.0013000000035390258,"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":0.0,"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-diagnosis","display_name":"diabetes diagnosis","score":0.9010000228881836},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"decision support system","score":0.8690000176429749},{"id":"https://openalex.org/keywords/pima-indians-diabetes-dataset","display_name":"Pima Indians diabetes dataset","score":0.6840000152587891},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8159999847412109},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9940000176429749},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9269999861717224},{"id":"https://openalex.org/keywords/naive-bayesian-network","display_name":"naive Bayesian network","score":0.8820000290870667},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.6079999804496765},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.5099999904632568}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6699924468994141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591562032699585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6084218621253967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5661154985427856},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5629192590713501},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5620229840278625},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5136098861694336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5036522746086121},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4318733811378479}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/978-1-7998-9023-2.ch053","doi":"https://doi.org/10.4018/978-1-7998-9023-2.ch053","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-7998-9023-2.ch053","pdf_url":null,"source":{"id":"https://openalex.org/S4306463409","display_name":"IGI Global eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9476000070571899}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W10130694","https://openalex.org/W33005425","https://openalex.org/W46219046","https://openalex.org/W1490076591","https://openalex.org/W1496133970","https://openalex.org/W1515089167","https://openalex.org/W1551806118","https://openalex.org/W1608292140","https://openalex.org/W1974489609","https://openalex.org/W1976070030","https://openalex.org/W1987063664","https://openalex.org/W1987171337","https://openalex.org/W1997987254","https://openalex.org/W1999259627","https://openalex.org/W2024557183","https://openalex.org/W2026249744","https://openalex.org/W2046831337","https://openalex.org/W2047435872","https://openalex.org/W2052882655","https://openalex.org/W2066698760","https://openalex.org/W2069340802","https://openalex.org/W2075559583","https://openalex.org/W2085695360","https://openalex.org/W2097540005","https://openalex.org/W2097686533","https://openalex.org/W2101048693","https://openalex.org/W2108870824","https://openalex.org/W2117851878","https://openalex.org/W2123380119","https://openalex.org/W2124611117","https://openalex.org/W2128467450","https://openalex.org/W2128552148","https://openalex.org/W2128718068","https://openalex.org/W2129648876","https://openalex.org/W2132996843","https://openalex.org/W2137687977","https://openalex.org/W2146080612","https://openalex.org/W2148790857","https://openalex.org/W2151968358","https://openalex.org/W2162564741","https://openalex.org/W2162786929","https://openalex.org/W2164117960","https://openalex.org/W2166851483","https://openalex.org/W2183946262","https://openalex.org/W2184665985","https://openalex.org/W2184674722","https://openalex.org/W2186689138","https://openalex.org/W2186796630","https://openalex.org/W2187030455","https://openalex.org/W2201067653","https://openalex.org/W2315318969","https://openalex.org/W2328733597","https://openalex.org/W2337206871","https://openalex.org/W2338464815","https://openalex.org/W2398030958","https://openalex.org/W2492660307","https://openalex.org/W2499178474","https://openalex.org/W2525151302","https://openalex.org/W2559758362","https://openalex.org/W2739923875","https://openalex.org/W2789732774","https://openalex.org/W2964251426","https://openalex.org/W6729149813","https://openalex.org/W6997415891"],"related_works":["https://openalex.org/W4252009698","https://openalex.org/W2210686664","https://openalex.org/W7000413587","https://openalex.org/W2902815358","https://openalex.org/W2912164919","https://openalex.org/W3178796460","https://openalex.org/W6964070188","https://openalex.org/W2901779613","https://openalex.org/W2610692412","https://openalex.org/W2891415303"],"abstract_inverted_index":{"The":[0,24],"use":[1],"of":[2,26,32,69,121],"data":[3,74],"mining":[4,75],"algorithms":[5],"in":[6,15,59,80],"health":[7],"information":[8],"systems":[9],"has":[10,55],"played":[11],"a":[12,119],"significant":[13,57],"role":[14],"developing":[16],"applications":[17],"that":[18],"help":[19],"to":[20,36,65,87],"diagnose":[21,88],"different":[22],"diseases.":[23],"type":[25],"the":[27,30,33,51,60,66,70,107,116],"disease":[28],"determines":[29],"selection":[31],"algorithm,":[34],"parameters":[35],"be":[37],"used,":[38],"and":[39,102],"dataset":[40],"pre-processing":[41],"steps,":[42],"etc.":[43],"In":[44],"this":[45],"chapter,":[46],"diagnosing":[47,81],"diabetes":[48,89],"mellitus":[49],"is":[50],"target":[52],"since":[53],"it":[54],"gained":[56],"attention":[58],"last":[61],"few":[62],"decades":[63],"due":[64],"increased":[67],"severity":[68],"disease.":[71],"Four":[72,83],"predictive":[73],"approaches":[76],"are":[77],"being":[78],"used":[79],"diabetes.":[82],"models":[84],"were":[85],"implemented":[86],"from":[90],"PIMA":[91],"dataset:":[92],"k-nearest":[93],"neighbor,":[94],"support":[95,111],"vector":[96,112],"machine,":[97],"multilayer":[98],"perceptron":[99],"neural":[100],"network,":[101],"naive":[103],"Bayesian":[104],"network.":[105],"Giving":[106],"highest":[108],"classification":[109],"accuracy,":[110],"machine":[113],"technique":[114],"outperformed":[115],"others":[117],"with":[118],"value":[120],"78.83%.":[122]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-05-12T00:00:00"}