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Md. Maniruzzaman
Md. Maniruzzaman
Assistant Professor, Statistics Discipline, Khulna University, Khulna-9208, Bangladesh
在 ku.ac.bd 的电子邮件经过验证 - 首页
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引用次数
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Classification and prediction of diabetes disease using machine learning paradigm
M Maniruzzaman, MJ Rahman, B Ahammed, MM Abedin
Health Information Science and Systems 8 (1), 7, 2020
3162020
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm
M Maniruzzaman, N Kumar, MM Abedin, MS Islam, HS Suri, AS El-Baz, ...
Computer methods and programs in biomedicine 152, 23-34, 2017
2772017
Accurate diabetes risk stratification using machine learning: role of missing value and outliers
M Maniruzzaman, MJ Rahman, M Al-MehediHasan, HS Suri, MM Abedin, ...
Journal of medical systems 42, 1-17, 2018
2552018
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
M Maniruzzaman, MJ Rahman, B Ahammed, MM Abedin, HS Suri, ...
Computer methods and programs in biomedicine 176, 173-193, 2019
1012019
Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries
A Sarder, SMS Islam, A Talukder, M Maniruzzaman, B Ahammed
Plos one 16 (2), e0245923, 2021
682021
Risk factors of neonatal mortality and child mortality in Bangladesh
M Maniruzzaman, HS Suri, N Kumar, MM Abedin, MJ Rahman, A El-Baz, ...
Journal of global health 8 (1), 2018
682018
Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach
SMJ Rahman, NAMF Ahmed, MM Abedin, B Ahammed, M Ali, ...
Plos one 16 (6), e0253172, 2021
622021
Regression analysis of student academic performance using deep learning
S Hussain, S Gaftandzhieva, M Maniruzzaman, R Doneva, ZF Muhsin
Education and Information Technologies 26 (1), 783-798, 2021
442021
Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach
MM Islam, MJ Rahman, DC Roy, M Maniruzzaman
Diabetes & Metabolic Syndrome: Clinical Research & Reviews 14 (3), 217-219, 2020
422020
Ranking of stroke and cardiovascular risk factors for an optimal risk calculator design: Logistic regression approach
E Cuadrado-Godia, AD Jamthikar, D Gupta, NN Khanna, T Araki, ...
Computers in biology and medicine 108, 182-195, 2019
412019
Determinants of depressive symptoms among older people in Bangladesh
S Rahman, A Rahman, M Ali, S Rahman, M Maniruzzaman, A Yeasmin, ...
Journal of Affective Disorders, 2019
392019
Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh
MM Islam, MJ Rahman, MM Islam, DC Roy, NAMF Ahmed, S Hussain, ...
International Journal of Cognitive Computing in Engineering 3, 46-57, 2022
332022
Prevalence of undernutrition in Bangladeshi children
MS Rahman, MA Rahman, M Maniruzzaman, MH Howlader
Journal of biosocial science 52 (4), 596-609, 2020
272020
Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort
E Cuadrado-Godia, M Maniruzzaman, T Araki, A Puvvula, MJ Rahman, ...
Computers in biology and medicine 101, 128-145, 2018
262018
Predicting children with ADHD using behavioral activity: a machine learning analysis
M Maniruzzaman, J Shin, MAM Hasan
Applied Sciences 12 (5), 2737, 2022
242022
Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh
MM Islam, MJ Rahman, DC Roy, M Tawabunnahar, R Jahan, ...
Diabetes & Metabolic Syndrome: Clinical Research & Reviews 15 (3), 877-884, 2021
242021
Determinants of early age of mother at first birth in Bangladesh: a statistical analysis using a two-level multiple logistic regression model
M Ali, S Alauddin, MF Khatun, M Maniruzzaman, SMS Islam
Journal of Public Health, 1-7, 2020
242020
Predicting risks of low birth weight in Bangladesh with machine learning
SMA Islam Pollob, MM Abedin, MT Islam, MM Islam, M Maniruzzaman
PloS one 17 (5), e0267190, 2022
232022
Efficient Feature Selection and Machine Learning Based ADHD Detection Using EEG Signal
MAMHAY Md. Maniruzzaman, Jungpil Shin
Computers, Materials & Continua 72 (3), 5179–5195, 2022
232022
Optimal channels and features selection based ADHD detection from EEG signal using statistical and machine learning techniques
M Maniruzzaman, MAM Hasan, N Asai, J Shin
IEEE Access 11, 33570-33583, 2023
202023
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