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Results for “"Aishwariya Dutta"”

9 results

Early Prediction of Diabetes Using an Ensemble of Machine Learning Models

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Aishwariya Dutta, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal et al.

Journal: International Journal of Environmental Research and Public HealthYear: 2022Citations: 153

Diabetes is one of the most rapidly spreading diseases in the world, resulting in an array of significant complications, including cardiovascular disease, kidney failure, diabetic retinopathy, and neuropathy, among others, which contribute to an increase in morbidity and mortality rate. If diabetes ...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)

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Md. Kamrul Hasan, Md. Ashraful Alam, Shidhartho Roy, Aishwariya Dutta et al.

Journal: Informatics in Medicine UnlockedYear: 2021Citations: 152

Recently, numerous studies have been conducted on Missing Value Imputation (MVI), intending the primary solution scheme for the datasets containing one or more missing attribute’s values. The incorporation of MVI reinforces the Machine Learning (ML) models’ performance and necessitates a systematic ...

Physical SciencesMathematicsStatistics and ProbabilityOpen Access
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Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images

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Chayan Mondal, Md. Kamrul Hasan, Mohiuddin Ahmad, Md. Abdul Awal et al.

Journal: Informatics in Medicine UnlockedYear: 2021Citations: 58

Acute Lymphoblastic Leukemia (ALL) is a blood cell cancer characterized by the presence of excess immature lymphocytes., Even though automation in ALL prognosis is essential for cancer diagnosis, it remains a challenge due to the morphological correlation between malignant and normal cells. The trad...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Associating Measles Vaccine Uptake Classification and its Underlying Factors Using an Ensemble of Machine Learning Models

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Md. Kamrul Hasan, Md. Tasnim Jawad, Aishwariya Dutta, Md. Abdul Awal et al.

Journal: IEEE AccessYear: 2021Citations: 29

Measles is one of the significant public health issues responsible for the high mortality rate around the globe, especially for developing countries. Using nationally representative demographic and health survey data, measles vaccine utilization has been classified, and its underlying factors are id...

Life SciencesImmunology and MicrobiologyImmunologyOpen Access
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Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition

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Aishwariya Dutta, Md. Kamrul Hasan, Mohiuddin Ahmad

Journal: Algorithms for intelligent systemsYear: 2021Citations: 27
Health SciencesMedicineOncology
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Skin Lesion Classification Using Convolutional Neural Network for Melanoma Recognition

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Aishwariya Dutta, Md. Kamrul Hasan, Mohiuddin Ahmad

Journal: medRxivYear: 2020Citations: 9

Abstract Skin cancer, also known as melanoma, is generally diagnosed visually from the dermoscopic images, which is a tedious and time-consuming task for the dermatologist. Such a visual assessment, via the naked eye for skin cancers, is a challenging and arduous due to different artifacts such as l...

Health SciencesMedicineOncologyOpen Access
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Gestational Diabetes Prediction in Pregnancy: A Machine Learning and Data Preprocessing Approach

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Tanver Hasan Riyed, Tasnia Nabi, Aishwariya Dutta, Md. Kamrul Hasan et al.

Year: 2023Citations: 4

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, resulting in an elevated blood glucose level and short-term and long-term health burdens. Therefore, early screening would aid in reducing complications associated with GDM and adverse pregnancy outcomes. M...

Health SciencesHealth ProfessionsHealth Information Management
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Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders

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Md. Kamrul Hasan, Shidhartho Roy, Chayan Mondal, Md. Ashraful Alam et al.

Journal: Biomedical Signal Processing and ControlYear: 2021

Automated skin lesion analysis for simultaneous detection and recognition is still challenging for inter-class homogeneity and intra-class heterogeneity, leading to low generic capability of a Single Convolutional Neural Network (CNN) with limited datasets. This article proposes an end-to-end deep C...

Health SciencesMedicineOncologyOpen Access
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Measles

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Md. Kamrul Hasan, J. Tasnim, Aishwariya Dutta, Awal Md. Abdul et al.

Journal: Harvard DataverseYear: 2021

This study utilized four consecutive nationally representative Demographic and Health Survey data of Bangladesh beginning from 2007, 2011, 2014, and 2017-18. These datasets were collected under the National Institute of Population Research and Training (NIPORT) authority of the Ministry of Health an...

Health SciencesMedicineEpidemiologyOpen Access
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