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Md Menhazul Abedin

Showing results (1-10 of 11) with videos related to

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The Journal of Chemical Physics|July 3, 2024
Multi-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selectionMd Menhazul Abedin, Koji Tabata, Yoshihiro Matsumura, et al.
Health Information Science and Systems|January 18, 2020
Classification and prediction of diabetes disease using machine learning paradigmMd Maniruzzaman, Md Jahanur Rahman, Benojir Ahammed, et al.
Tobacco Control|November 29, 2019
Determinants of tobacco cultivation in BangladeshMd Sazedur Rahman, N A M Faisal Ahmed, Mohammad Ali, et al.
Plos One|May 26, 2022
Predicting risks of low birth weight in Bangladesh with machine learningS M Ashikul Islam Pollob, Md Menhazul Abedin, Md Touhidul Islam, et al.
Journal of Medical Systems|April 12, 2018
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and OutliersMd Maniruzzaman, Md Jahanur Rahman, Md Al-MehediHasan, et al.
Computer Methods and Programs in Biomedicine|October 22, 2017
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigmMd Maniruzzaman, Nishith Kumar, Md Menhazul Abedin, et al.
Health Systems (Basingstoke, England)|May 26, 2023
Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniquesMd Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, et al.
Plos One|June 17, 2021
Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approachS M Jubaidur Rahman, N A M Faisal Ahmed, Md Menhazul Abedin, et al.
Journal of Global Health|May 10, 2018
Risk factors of neonatal mortality and child mortality in BangladeshMd Maniruzzaman, Harman S Suri, Nishith Kumar, et al.
Computer Methods and Programs in Biomedicine|June 16, 2019
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigmsMd Maniruzzaman, Md Jahanur Rahman, Benojir Ahammed, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
The Journal of Chemical Physics|July 3, 2024
Multi-armed bandit algorithm for sequential experiments of molecular properties with dynamic feature selectionMd Menhazul Abedin, Koji Tabata, Yoshihiro Matsumura, et al.
Health Information Science and Systems|January 18, 2020
Classification and prediction of diabetes disease using machine learning paradigmMd Maniruzzaman, Md Jahanur Rahman, Benojir Ahammed, et al.
Tobacco Control|November 29, 2019
Determinants of tobacco cultivation in BangladeshMd Sazedur Rahman, N A M Faisal Ahmed, Mohammad Ali, et al.
Plos One|May 26, 2022
Predicting risks of low birth weight in Bangladesh with machine learningS M Ashikul Islam Pollob, Md Menhazul Abedin, Md Touhidul Islam, et al.
Journal of Medical Systems|April 12, 2018
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and OutliersMd Maniruzzaman, Md Jahanur Rahman, Md Al-MehediHasan, et al.
Computer Methods and Programs in Biomedicine|October 22, 2017
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigmMd Maniruzzaman, Nishith Kumar, Md Menhazul Abedin, et al.
Health Systems (Basingstoke, England)|May 26, 2023
Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniquesMd Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, et al.
Plos One|June 17, 2021
Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approachS M Jubaidur Rahman, N A M Faisal Ahmed, Md Menhazul Abedin, et al.
Journal of Global Health|May 10, 2018
Risk factors of neonatal mortality and child mortality in BangladeshMd Maniruzzaman, Harman S Suri, Nishith Kumar, et al.
Computer Methods and Programs in Biomedicine|June 16, 2019
Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigmsMd Maniruzzaman, Md Jahanur Rahman, Benojir Ahammed, et al.
Pageof 2