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. 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 ...
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, 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...
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 ...
N.A.M. Faisal Ahmed, Md Obaydullah Al Numan, Raihan Kabir, Md. Rashedul Islam et al.
Human Activity Recognition (HAR), alongside Ambient Assisted Living (AAL), are integral components of smart homes, sports, surveillance, and investigation activities. To recognize daily activities, researchers are focusing on lightweight, cost-effective, wearable sensor-based technologies as traditi...
Arifur Rahman, Md. Shahidul Islam, N.A.M. Faisal Ahmed, Md Merajul Islam
The objective of this study was to investigate how higher secondary students perceive the online and to identify the factors that affect their perceptions during the Covid 19 epidemic in Bangladesh. The research is quantitative in nature. 1078 students' data were gathered using an online survey ques...
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...
Afia Tasnim, Baivab Das, Md. Rajibul Islam, Md Amiruzzaman et al.
Md. Merajul Islam, Jahangir Alam, Sujit Kumar, Ariful Islam et al.
Background and objectives: Hypertension (HTN) is a leading cause of non-communicable disease in low- and middle-income countries, including Bangladesh. Thus, the objectives of this study were to investigate the associated risk factors for HTN and develop with validate a monogram model for predicting...
Shamima Sultana, Taimur Rahman, Halima Khatun, Nayeema Sultana et al.
Recent advancement of wearable sensor technology causes an increase use on human activity recognition (HAR) due to its superior performance and portability. HAR is applied on potential applications such as ambient assisted living, home automation, healthcare, games, monitoring, and inquiring activit...
Adib Mahamud Khan, Raihan Kabir, N. Sudha, N.A.M. Faisal Ahmed et al.
IoT in healthcare is intended to keep people safe and healthy, with the primary goal of lowering healthcare costs and reducing the involvement of caregivers in the coming years. This research proposes a smart IoT-based health- care system, which includes an intelligent medical box connected to a mob...
Md. Akhtarul Islam, Tanvir Ahmed Mozumder, Priyanka Ahmed, N.A.M. Faisal Ahmed et al.
To conduct a meta-analysis of trials evaluating the effect of woman's working status on domestic violence in Bangladesh with in urban and urban Slum area. A collection of different studies was considered based on Bangladesh urban and urban slum. Some studies were selected from well-known publication...