Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin
Background and objectives Diabetes is a chronic disease characterized by high blood sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc. About 422 million people were affected by diabetes disease in worldwide in 2014. The figure will be reached 642 million in ...
Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri et al.
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-based classifiers are applied to such data sets for ri...
Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin et al.
OBJECTIVE A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative study of different machine learning (ML) systems wh...
Sayedur Rahman, N.A.M. Faisal Ahmed, Md. Menhazul Abedin, Benojir Ahammed et al.
AIMS: Malnutrition is a major health issue among Bangladeshi under-five (U5) children. Children are malnourished if the calories and proteins they take through their diet are not sufficient for their growth and maintenance. The goal of the research was to use machine learning (ML) algorithms to dete...
Md. Maniruzzaman, Harman S. Suri, Nishith Kumar, Md. Menhazul Abedin et al.
BACKGROUND: Child and neonatal mortality is a serious problem in Bangladesh. The main objective of this study was to determine the most significant socio-economic factors (covariates) between the years 2011 and 2014 that influences on neonatal and child mortality and to further suggest the plausible...
Syed Rashel Kabir, A.K.M. Asaduzzaman, Ruhul Amin, ASM Tanbirul Haque et al.
values of 28 and 84 μg/mL, respectively. No colony was formed in MCF-7 cells in the presence of these nanoparticles as compared with control. Ag/AgCl-NPs induced apoptosis and generated ROS in MCF-7 cells. The expression level of FAS, FADD, and caspase-8 genes increased several folds with the decrea...
Md. Merajul Islam, Md. Jahanur Rahman, Md Moidul Islam, Dulal Chandra Roy et al.
Malnutrition among women is a major public health problem that has been linked to stunted growth, diabetes, and has adverse consequences for children, including low birth weight, less resistance to infections, and a higher risk of death. This current study presents an exhaustive comprehensive study ...
Md. Merajul Islam, Md. Jahangir Alam, Md. Maniruzzaman, N.A.M. Faisal Ahmed et al.
BACKGROUND AND OBJECTIVES: Hypertension (HTN), a major global health concern, is a leading cause of cardiovascular disease, premature death and disability, worldwide. It is important to develop an automated system to diagnose HTN at an early stage. Therefore, this study devised a machine learning (M...
Md. Merajul Islam, Md. Jahanur Rahman, Dulal Chandra Roy, Md. Maniruzzaman
BACKGROUND AND AIMS Diabetes has been recognized as a continuing health challenge for the twenty-first century, both in developed and developing countries including Bangladesh. The main objective of this study is to use machine learning (ML) based classifiers for automated detection and classificati...
Md. Maniruzzaman, Md. Merajul Islam, Md. Jahanur Rahman, Md. Al Mehedi Hasan et al.
Aims This research work presented a comparative study of machine learning (ML), including two objectives: (i) determination of the risk factors of diabetic nephropathy (DN) based on principal component analysis (PCA) via different cutoffs; (ii) prediction of DN patients using ML-based techniques. Me...
Md. Merajul Islam, Md. Jahanur Rahman, Dulal Chandra Roy, Most. Tawabunnahar et al.
BACKGROUND AND AIMS Hypertension has become a major public health issue as the prevalence and risk of premature death and disability among adults due to hypertension has increased globally. The main objective is to characterize the risk factors of hypertension among adults in Bangladesh using machin...
Md Merajul Islam, Md. Jahanur Rahman, Md. Symun Rabby, Md. Jahangir Alam et al.
BACKGROUND AND OBJECTIVE Diabetic retinopathy (DR) is a global health concern among diabetic patients. The objective of this study was to propose an explainable machine learning (ML)-based system for predicting the risk of DR. MATERIALS AND METHODS This study utilized publicly available cross-sectio...
Elisa Cuadrado‐Godia, Md. Maniruzzaman, Tadashi Araki, Anudeep Puvvula et al.
BACKGROUND This study examines the association between six types of carotid artery disease image-based phenotypes and HbA1c in diabetes patients. Six phenotypes (intima-media thickness measurements (cIMT (ave.), cIMT (max.), cIMT (min.)), bidirectional wall variability (cIMTV), morphology-based tota...
Md. Jahangir Alam, Md. Merajul Islam, Md. Maniruzzaman, N.A.M. Faisal Ahmed et al.
BACKGROUND AND OBJECTIVE: Low birth weight (LBW) is a major risk factor of child mortality and morbidity during infancy (0-3 years) and early childhood (3-8 years) in low and lower-middle-income countries, including Bangladesh. LBW is a vital public health concern in Bangladesh. The objective of the...
Md. Merajul Islam, Md. Jahanur Rahman, Dulal Chandra Roy, Md Moidul Islam et al.
Background: Anemia is a major public health problem with raising prevalence worldwide, including Bangladesh. Objectives: To identify the risk factors of anemia among women in Bangladesh and its prediction using Machine Learning (ML) based techniques. Methods: The anemia dataset, comprising of 3,020 ...