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, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam et al.
Background and objective Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden of this disease has been calculated to be about $13,...
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...
S.M. Ashikul Islam Pollob, Md. Menhazul Abedin, Md. Touhidul Islam, Md. Merajul Islam et al.
BACKGROUND AND OBJECTIVE: Low birth weight is one of the primary causes of child mortality and several diseases of future life in developing countries, especially in Southern Asia. The main objective of this study is to determine the risk factors of low birth weight and predict low birth weight babi...
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...
Md. Sazedur Rahman, Md. Ashfikur Rahman, Mohammad Ali, Md. Saidur Rahman et al.
BACKGROUND Depressive symptoms are common among older people which are associated with disability, morbidity and mortality. The aim of this study was to determine the associated risk factors for depressive symptoms among older people in Bangladesh. METHODS A cross-sectional survey was conducted amon...
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 ...
Benojir Ahammed, Md. Rasel Kabir, Md. Menhazul Abedin, Mohammad Ali et al.
Introduction The analysis of factors affecting birth interval helps to reveal the mechanism and dynamics of fertility behavior which changes the population structure of a country. This study aims to examine the association among different socioeconomic and demographic factors with birth intervals an...
Md. Merajul Islam, Md. Jahanur Rahman, Md. Menhazul Abedin, Benojir Ahammed et al.
This study identified the risk factors for type 2 diabetes (T2D) and proposed a machine learning (ML) technique for predicting T2D. The risk factors for T2D were identified by multiple logistic regression (MLR) using p-value (p<0.05). Then, five ML-based techniques, including logistic regression, na...
Md. Sazedur Rahman, N.A.M. Faisal Ahmed, Mohammad Ali, Md. Menhazul Abedin et al.
BACKGROUND: Tobacco production continues to increase in low-income and middle-income countries including in Bangladesh. It has spreads to different parts of Bangladesh and is now threatening food cultivation, the environment and health. The aim of this study is to determine the factors those are inf...
Md. Maniruzzaman, Islam Shaykhul, Menhazul Abedin, Md. Amanullah et al.
Diarrhea has remained a major health problem among under-five (U5) children that leads high level of morbidity and mortality. This study is to determine the socio-demographic risk factors of diarrhea as well as predict of diarrhea status using machine learning (ML) based approach among U5 children i...
Md. Merajul Islam, Md. Jahanur Rahman, Most. Tawabunnahar, Md. Menhazul Abedin et al.
Abstract Background and objectives: Hypertension is a major public health problem with raising its prevalence and effect among adults overtime worldwide, especially in Bangladesh. The aim is to investigate the effect of diabetes on hypertension. Materials and methods: The dataset used in this study ...
Faisal Ahmed, Mahmuda Sultana, Mohammad Ali, Menhazul Abedin et al.
Background. Nutritional status is the best indicator of global well-being. Childhood malnutrition is a major public health problem among Bangladeshi children.