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Md Jahanur Rahman

Showing results (1-10 of 14) with videos related to

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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.
Diabetes & Metabolic Syndrome|March 21, 2020
Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approachMd Merajul Islam, Md Jahanur Rahman, Dulal Chandra Roy, et al.
Diabetes & Metabolic Syndrome|September 5, 2021
Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary dataMd Maniruzzaman, Md Merajul Islam, Md Jahanur Rahman, et al.
Diabetes & Metabolic Syndrome|April 23, 2021
Machine learning algorithm for characterizing risks of hypertension, at an early stage in BangladeshMd Merajul Islam, Md Jahanur Rahman, Dulal Chandra Roy, 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.
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.
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.
Plos One|August 24, 2023
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in EthiopiaMd Merajul Islam, Md Jahangir Alam, Md Maniruzzaman, et al.
Plos One|December 21, 2017
Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysisAlamgir Kabir, Md Jahanur Rahman, Abu Ahmed Shamim, et al.
Plos One|October 27, 2022
Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in BangladeshMd Jahangir Alam, Md Merajul Islam, Md Maniruzzaman, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
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.
Diabetes & Metabolic Syndrome|March 21, 2020
Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approachMd Merajul Islam, Md Jahanur Rahman, Dulal Chandra Roy, et al.
Diabetes & Metabolic Syndrome|September 5, 2021
Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary dataMd Maniruzzaman, Md Merajul Islam, Md Jahanur Rahman, et al.
Diabetes & Metabolic Syndrome|April 23, 2021
Machine learning algorithm for characterizing risks of hypertension, at an early stage in BangladeshMd Merajul Islam, Md Jahanur Rahman, Dulal Chandra Roy, 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.
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.
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.
Plos One|August 24, 2023
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in EthiopiaMd Merajul Islam, Md Jahangir Alam, Md Maniruzzaman, et al.
Plos One|December 21, 2017
Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysisAlamgir Kabir, Md Jahanur Rahman, Abu Ahmed Shamim, et al.
Plos One|October 27, 2022
Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in BangladeshMd Jahangir Alam, Md Merajul Islam, Md Maniruzzaman, et al.
Pageof 2