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Assistant Professor at Statistics
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Developed a machine learning model for the classification and prediction of diabetes using various machine learning paradigms, contributing to early diagnosis and risk stratification.
Compared different machine learning approaches for classifying diabetes mellitus data, providing insights into the effectiveness of various algorithms for diabetes diagnosis.
Investigated the risk factors associated with neonatal and child mortality in Bangladesh, contributing to the understanding of public health challenges in the region.
Developed a machine learning-based approach for detecting ADHD using EEG signals, focusing on feature selection and optimal channel identification.
Utilized machine learning to predict the risks associated with low birth weight in Bangladesh, contributing to maternal and child health research.
Applied machine learning algorithms to predict malnutrition among women in Bangladesh, aiding in the identification of at-risk populations.
Analyzed the determinants of depressive symptoms among older people in Bangladesh, contributing to mental health research.
Dr. Md. Maniruzzaman is an Assistant Professor at Khulna University, specializing in applying machine learning and AI to solve complex healthcare challenges, with significant contributions to diabetes prediction, ADHD detection, and public health research.
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