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Classification and prediction of diabetes disease using machine learning paradigm

Health information science and systems, 2020-01, Vol.8 (1), p.7-7, Article 7

2020

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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

Journal of medical systems, 2018-05, Vol.42 (5), p.92-17, Article 92

2018

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Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach

PloS one, 2021-06, Vol.16 (6), p.e0253172-e0253172

2021

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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms

Computer methods and programs in biomedicine, 2019-07, Vol.176, p.173-193

2019

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Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

PloS one, 2023-08, Vol.18 (8), p.e0289613-e0289613

2023

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Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh

PloS one, 2022-10, Vol.17 (10), p.e0276718-e0276718

2022

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Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysis

PloS one, 2017-12, Vol.12 (12), p.e0189677-e0189677

2017

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Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

International journal of cognitive computing in engineering, 2022-06, Vol.3, p.46-57

2022

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Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach

Diabetes & metabolic syndrome clinical research & reviews, 2020-05, Vol.14 (3), p.217-219

2020

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Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data

Diabetes & metabolic syndrome clinical research & reviews, 2021-09, Vol.15 (5), p.102263-102263, Article 102263

2021

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Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh

Diabetes & metabolic syndrome clinical research & reviews, 2021-05, Vol.15 (3), p.877-884

2021

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Predicting the risk of diabetic retinopathy using explainable machine learning algorithms

Diabetes & metabolic syndrome clinical research & reviews, 2023-12, Vol.17 (12), p.102919-102919, Article 102919

2023

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Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort

Computers in biology and medicine, 2018-10, Vol.101, p.128-145

2018

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Risk Factors Identification and Prediction of Anemia among Women in Bangladesh using Machine Learning Techniques

Current women's health reviews, 2022-02, Vol.18 (1)

2022

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Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques

Health systems, 2023-04, Vol.12 (2), p.243-254

2023

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Risk factors of neonatal mortality and child mortality in Bangladesh

Journal of global health, 2018-06, Vol.8 (1), p.010417-010417

2018

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Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares

PloS one, 2017-12, Vol.12 (12), p.e0189677

2017

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Managemental perspectives in livestock production system associated with the reduction of antibiotic usage in veterinary practices: Bangladesh perspectives

Asian-Australasian Journal of Bioscience and Biotechnology, 2018-12, Vol.3 (3), p.182-189

2018

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Different perspectives associated with the development of relevant strategies for maintenance of withdrawal period of veterinary drugs: Bangladesh perspectives

Asian-Australasian Journal of Food Safety and Security, 2018-11, Vol.2 (2), p.71-78

2018

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Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

PloS one, 2023-01, Vol.18 (8)

2023

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An Empirical Study on Long-Run Neutrality of Money in the Japanese Economy

The Japanese economy, 2008-10, Vol.35 (3), p.87-117

2008

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Estimation of Precautionary Demand Function

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2007-05, Vol.2007, p.19-22

2007

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MODELLING OF FINANCIAL ANXIETIES AS PRECAUTIONARY DEMAND FUNCTION

Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications, 2006-05, Vol.2006, p.214-219

2006

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Zizyphus mauritiana Fruit Extract-Mediated Synthesized Silver/Silver Chloride Nanoparticles Retain Antimicrobial Activity and Induce Apoptosis in MCF‑7 Cells through the Fas Pathway

ACS omega, 2020-08, Vol.5 (32), p.20599-20608

2020

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Sentiment Analysis on User Reaction for Online Food Delivery Services using BERT Model

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, Vol.1, p.1019-1023

2021

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Classification and prediction of diabetes disease using machine learning paradigm

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh

Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares (PLS) regression analysis

Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach

Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data

Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh

Predicting the risk of diabetic retinopathy using explainable machine learning algorithms

Morphologic TPA (mTPA) and composite risk score for moderate carotid atherosclerotic plaque is strongly associated with HbA1c in diabetes cohort

Risk Factors Identification and Prediction of Anemia among Women in Bangladesh using Machine Learning Techniques

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques

Risk factors of neonatal mortality and child mortality in Bangladesh

Identifying maternal and infant factors associated with newborn size in rural Bangladesh by partial least squares

Managemental perspectives in livestock production system associated with the reduction of antibiotic usage in veterinary practices: Bangladesh perspectives

Different perspectives associated with the development of relevant strategies for maintenance of withdrawal period of veterinary drugs: Bangladesh perspectives

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia

An Empirical Study on Long-Run Neutrality of Money in the Japanese Economy

Estimation of Precautionary Demand Function

MODELLING OF FINANCIAL ANXIETIES AS PRECAUTIONARY DEMAND FUNCTION

Zizyphus mauritiana Fruit Extract-Mediated Synthesized Silver/Silver Chloride Nanoparticles Retain Antimicrobial Activity and Induce Apoptosis in MCF‑7 Cells through the Fas Pathway

Sentiment Analysis on User Reaction for Online Food Delivery Services using BERT Model

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