| 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 | 298 | 2020 |
| 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 | 264 | 2017 |
| 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 | 235 | 2018 |
| 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 | 95 | 2019 |
| 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 | 64 | 2018 |
| 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 | 56 | 2021 |
| 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 | 54 | 2021 |
| 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 | 42 | 2020 |
| 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 | 38 | 2019 |
| 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 | 38 | 2019 |
| 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 | 37 | 2021 |
| Prevalence of undernutrition in Bangladeshi children MS Rahman, MA Rahman, M Maniruzzaman, MH Howlader Journal of biosocial science 52 (4), 596-609, 2020 | 27 | 2020 |
| 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 | 25 | 2022 |
| 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 | 25 | 2018 |
| 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 | 24 | 2020 |
| 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 | 23 | 2021 |
| 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 | 19 | 2022 |
| 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 | 19 | 2022 |
| Predicting children with ADHD using behavioral activity: a machine learning analysis M Maniruzzaman, J Shin, MAM Hasan Applied Sciences 12 (5), 2737, 2022 | 19 | 2022 |
| 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 | 17 | 2023 |
Md. Menhazul AbedinAssistant Professor at Statistics Discipline, Khulna UniversityVerified email at ku.ac.bd
