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Results for “"Md. Maniruzzaman"”

16+ results

Classification and prediction of diabetes disease using machine learning paradigm

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Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin

Journal: Health Information Science and SystemsYear: 2020Citations: 360

Background and objectives Diabetes is a chronic disease characterized by high blood sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc. About 422 million people were affected by diabetes disease in worldwide in 2014. The figure will be reached 642 million in ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

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Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al-MehediHasan, Harman S. Suri et al.

Journal: Journal of Medical SystemsYear: 2018Citations: 271

Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-based classifiers are applied to such data sets for ri...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm

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Md. Maniruzzaman, Nishith Kumar, Md. Menhazul Abedin, Md. Shaykhul Islam et al.

Journal: Computer Methods and Programs in BiomedicineYear: 2017Citations: 269

Background and objective Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden of this disease has been calculated to be about $13,...

Health SciencesHealth ProfessionsHealth Information Management
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Effects of tranexamic acid on death, vascular occlusive events, and blood transfusion in trauma patients with significant haemorrhage (CRASH-2): a randomised, placebo-controlled trial

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Md Maniruzzaman, Mir Atiqur Rahaman

Journal: Bangladesh Critical Care JournalYear: 2013Citations: 259

The article is reprinted after 'Lancet 2010; 376: 23-32' by the above collaborators with written permission from Lancet Authority.Background: Tranexamic acid can reduce bleeding in patients undergoing elective surgery. We assessed the effects of early administration of a short course of tranexamic a...

Health SciencesMedicineCritical Care and Intensive Care MedicineOpen Access
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Effect of chemical treatments on the mechanical and thermal behaviour of okra (Abelmoschus esculentus) fibres

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Igor Maria De Rosa, J. M. Kenny, Mohd. Maniruzzaman, Md. Moniruzzaman et al.

Journal: Composites Science and TechnologyYear: 2010Citations: 228
Physical SciencesMaterials SciencePolymers and Plastics
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Impacts of Root Metabolites on Soil Nematodes

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Md Maniruzzaman Sikder, Mette Vestergård

Journal: Frontiers in Plant ScienceYear: 2020Citations: 160

Plant parasitic nematodes cause significant crop damage globally. Currently, many nematicides have been banned or are being phased out in Europe and other parts of the world because of environmental and human health concerns. Therefore, we need to focus on sustainable and alternative methods of nema...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Recent advances on palm oil mill effluent (POME) pretreatment and anaerobic reactor for sustainable biogas production

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Md. Maniruzzaman A. Aziz, Khairul Anuar Kassim, Moetaz Elsergany, Syed Anuar et al.

Journal: Renewable and Sustainable Energy ReviewsYear: 2019Citations: 153

Palm oil is one of the leading agricultural crops in the world, as it dominates 34% of the global vegetable oil market, with approximately 64.6*103 million kgs of production in 2017. However, along with its breakthrough, the generation of palm oil mill effluent (POME) as uncontrolled waste has becom...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms

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Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, Md. Menhazul Abedin et al.

Journal: Computer Methods and Programs in BiomedicineYear: 2019Citations: 129

OBJECTIVE A colon microarray data is a repository of thousands of gene expressions with different strengths for each cancer cell. It is necessary to detect which genes are responsible for cancer growth. This study presents an exhaustive comparative study of different machine learning (ML) systems wh...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Fabrication of nano composite membrane filter from graphene oxide(GO) and banana rachis cellulose nano crystal(CNC) for industrial effluent treatment

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Md. Shamim Sheikh, Md. Mahmudur Rahman, M. Safiur Rahman, Kenan Yıldırım et al.

Journal: Journal of Industrial and Engineering ChemistryYear: 2023Citations: 89
Physical SciencesEnvironmental ScienceWater Science and Technology
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Prevalence of unintended pregnancy and its associated factors: Evidence from six south Asian countries

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Alamgir Sarder, Sheikh Mohammed Shariful Islam, Md. Maniruzzaman, Ashis Talukder et al.

Journal: PLoS ONEYear: 2021Citations: 88

AIM: Unintended pregnancy is a significant public health concern in South Asian countries because of its negative association with the socioeconomic and health outcomes for both children and mothers. The present study aimed to explore the prevalence of unintended pregnancy and explore its determinan...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Carbon mineralization and carbon dioxide emission from organic matter added soil under different temperature regimes

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Md. Babu Hossain, MM Rahman, Jatish Chandra Biswas, Md. Main Uddin Miah et al.

Journal: International Journal Of Recycling of Organic Waste in AgricultureYear: 2017Citations: 88

Information on carbon dioxide (CO2) emission from different organic sources and their temperature sensitivity to decomposition is scarce in Bangladesh. Therefore, this study quantified the rates of CO2 emission and carbon (C) degradation constants from different organic material mixed soils at varia...

Life SciencesAgricultural and Biological SciencesSoil ScienceOpen Access
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Pseudomonas fluorescens promote photosynthesis, carbon fixation and cadmium phytoremediation of hyperaccumulator Sedum alfredii

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Yingjie Wu, Luyao Ma, Qizhen Liu, Md Maniruzzaman Sikder et al.

Journal: The Science of The Total EnvironmentYear: 2020Citations: 85

Plant growth-promoting bacteria (PGPB) can promote photosynthesis and biomass production of hyperaccumulators, achieving enhanced phytoremediation efficiency of cadmium (Cd). A better understanding of the mechanisms controlling photosynthesis of hyperaccumulating plants by PGPB is necessary for deve...

Life SciencesAgricultural and Biological SciencesPlant Science
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A state-of-the-art review focusing on the significant techniques for naturally available fibers as reinforcement in sustainable bio-composites: Extraction, processing, purification, modification, as well as characterization study

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Md. Mahmudur Rahman, Mohd. Maniruzzaman, Mst. Sarmina Yeasmin

Journal: Results in EngineeringYear: 2023Citations: 84

Eco-friendly bio-active materials designed from available natural resources have been signified a big challenge in the past few decades. Nevertheless, the deficiency of the most essential knowledge regarding the effective processing of starting materials which has been used to fabricate the targeted...

Physical SciencesMaterials SciencePolymers and PlasticsOpen Access
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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

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Sayedur Rahman, N.A.M. Faisal Ahmed, Md. Menhazul Abedin, Benojir Ahammed et al.

Journal: PLoS ONEYear: 2021Citations: 80

AIMS: Malnutrition is a major health issue among Bangladeshi under-five (U5) children. Children are malnourished if the calories and proteins they take through their diet are not sufficient for their growth and maintenance. The goal of the research was to use machine learning (ML) algorithms to dete...

Health SciencesNursingNutrition and DieteticsOpen Access
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An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs

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Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, Mohiuddin Ahmad

Journal: Journal of SensorsYear: 2023Citations: 77

A brain tumor is an uncontrolled malignant cell growth in the brain, which is denoted as one of the deadliest types of cancer in people of all ages. Early detection of brain tumors is needed to get proper and accurate treatment. Recently, deep learning technology has attained much attraction to the ...

Life SciencesNeuroscienceNeurologyOpen Access
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