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<div><p>Diabetes mellitus presents a significant global health challenge, particularly in regions like Pakistan, India, and Bangladesh. Machine learning (ML) techniques offer promising solutions for diabetes prediction, surpassing traditional methods in reliability and efficiency. This r...

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Main Author:	Muhammad Noman (4266664) (author)
Other Authors:	Maria Hanif (17367250) (author), Abdul Hameed (276353) (author), Muhammad Babar (16625259) (author), Basit Qureshi (17131780) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified svm ), k surpassing traditional methods regions like pakistan performed using datasets gb ), rask_grade achieving notable accuracies 55 %, respectively proposed voting ), proposed stacking ). frankfurt hospitals diabetes voting classifier stacking model diabetes prediction research conducts rask gradel rask grade pima indian personalized treatment nine features nearest neighbors machine learning logistic regression data pre comparative analysis class balancing
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