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Data mining techniques are typically used to detect diabetes with high confidence to avoid misdiagnoses with other chronic diseases whose symptoms are similar to diabetes. Hidden Na\u00efve Bayes is one of the algorithms for classification, which works under a data-mining model based on the assumption of conditional independence of the traditional Na\u00efve Bayes. The results from this research study, which was conducted on the Pima Indian Diabetes (PID) dataset collection, show that the prediction accuracy of the HNB classifier achieved 82%. As a result, the discretization method increases the performance and accuracy of the HNB classifier.<\/jats:p>","DOI":"10.1515\/jib-2021-0037","type":"journal-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T13:05:30Z","timestamp":1677071130000},"source":"Crossref","is-referenced-by-count":1,"title":["Diabetes disease prediction system using HNB classifier based on discretization method"],"prefix":"10.1515","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7802-6628","authenticated-orcid":false,"given":"Bassam Abdo","family":"Al-Hameli","sequence":"first","affiliation":[{"name":"Centre for Software Development & Integrated Computing, Faculty of Computing , Universiti Malaysia Pahang , Pahang 26600 , Malaysia"}]},{"given":"AbdulRahman A.","family":"Alsewari","sequence":"additional","affiliation":[{"name":"Computing & Data Science Department, School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment , Birmingham City University (City Centre Campus) , Curzon Street, B4 7XG , Birmingham , UK"}]},{"given":"Shadi S.","family":"Basurra","sequence":"additional","affiliation":[{"name":"Computing & Data Science Department, School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment , Birmingham City University (City Centre Campus) , Curzon Street, B4 7XG , Birmingham , UK"}]},{"given":"Jagdev","family":"Bhogal","sequence":"additional","affiliation":[{"name":"Computing & Data Science Department, School of Computing and Digital Technology, Faculty of Computing, Engineering and the Built Environment , Birmingham City University (City Centre Campus) , Curzon Street, B4 7XG , Birmingham , UK"}]},{"given":"Mohammed A. 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