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...
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...
Elisa Cuadrado‐Godia, Ankush D. Jamthikar, Deep Gupta, Narendra N. Khanna et al.
PURPOSE Conventional cardiovascular risk factors (CCVRFs) and carotid ultrasound image-based phenotypes (CUSIP) are independently associated with long-term risk of cardiovascular (CV) disease. In this study, 26 cardiovascular risk (CVR) factors which consisted of a combination of CCVRFs and CUSIP to...
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...
Maniruzzaman , Jahanur Rahman, Benojir Ahammed, Menhazul Abedin et al.
Fakhruddin Ali Ahmad, Md Fahim Ahmad, Md Faruque Ahmad, Saghir Ahmad et al.
Menhazul Abedin, Benojir Ahammed, Tadashi Araki, Petros Bangeas et al.