{"id":13087,"date":"2025-06-24T10:18:02","date_gmt":"2025-06-24T07:18:02","guid":{"rendered":"https:\/\/uokerbala.edu.iq\/en\/?p=13087"},"modified":"2025-06-24T10:37:43","modified_gmt":"2025-06-24T07:37:43","slug":"university-of-kerbala-discussing-an-m-a-thesis-entitled-diabetes-type-identification-model-using-machine-learning-techniques","status":"publish","type":"post","link":"https:\/\/uokerbala.edu.iq\/en\/university-of-kerbala-discussing-an-m-a-thesis-entitled-diabetes-type-identification-model-using-machine-learning-techniques\/","title":{"rendered":"University of Kerbala Discussing an M.A. Thesis entitled “Diabetes Type Identification Model Using Machine Learning Techniques”"},"content":{"rendered":"

Being submitted by Aya Ahmed Hashem Al-Moussawi,- College of Computer Science and Information Technology – -University of Kerbala has discussed the M.A. thesis which is entitled ” Diabetes Type Identification Model Using Machine Learning Techniques”.<\/span>
\nThe study aims at using clinical and demographic data along with machine learning (ML) techniques to predict and classify diabetes.<\/span>
\nThe thesis recommends using machine learning as a powerful tool for early prediction and identification of diabetes, providing a cost-effective, scalable solution for healthcare systems.<\/span><\/p>\n

\"\" \"\" \"\"<\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

Being submitted by Aya Ahmed Hashem Al-Moussawi,- College of Computer Science and Information Technology – -University of Kerbala has discussed the M.A. thesis which is entitled ” Diabetes Type Identification Model Using Machine Learning Techniques”. The study aims at using clinical and demographic data along with machine learning (ML) techniques to predict and classify diabetes. 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