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Results for “"Khandaker Mohammad Mohi Uddin"”

16+ results

Machine learning-based diagnosis of breast cancer utilizing feature optimization technique

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Khandaker Mohammad Mohi Uddin, Nitish Biswas, Sarreha Tasmin Rikta, Samrat Kumar Dey

Journal: Computer Methods and Programs in Biomedicine UpdateYear: 2023Citations: 109

Breast cancer disease is recognized as one of the leading causes of death in women worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops from breast cells. Developed and less developed countries both are suffering from this extensive cancer. This cancer can be recup...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A comparative analysis of machine learning classifiers for stroke prediction: A predictive analytics approach

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Nitish Biswas, Khandaker Mohammad Mohi Uddin, Sarreha Tasmin Rikta, Samrat Kumar Dey

Journal: Healthcare AnalyticsYear: 2022Citations: 108

Stroke is the third leading cause of death in the world. It is a dangerous health disorder caused by the interruption of the blood flow to the brain, resulting in severe illness, disability, or death. An accurate prediction of stroke is necessary for the early stage of treatment and overcoming the m...

Health SciencesMedicineEpidemiologyOpen Access
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A Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease

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Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Jannat-E-Anawar, Md. Ashraf Uddin et al.

Journal: Biomedical Materials & DevicesYear: 2023Citations: 84

Alzheimer's disease (AD) is one of the leading causes of dementia among older people. In addition, a considerable portion of the world's population suffers from metabolic problems, such as Alzheimer's disease and diabetes. Alzheimer's disease affects the brain in a degenerative manner. As the elderl...

Life SciencesNeuroscienceNeurologyOpen Access
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Prediction of dengue incidents using hospitalized patients, metrological and socio-economic data in Bangladesh: A machine learning approach

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Samrat Kumar Dey, Md. Mahbubur Rahman, Arpita Howlader, Umme Raihan Siddiqi et al.

Journal: PLoS ONEYear: 2022Citations: 61

Dengue fever is a severe disease spread by Aedes mosquito-borne dengue viruses (DENVs) in tropical areas such as Bangladesh. Since its breakout in the 1960s, dengue fever has been endemic in Bangladesh, with the highest concentration of infections in the capital, Dhaka. This study aims to develop a ...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Machine learning-based approach to the diagnosis of cardiovascular vascular disease using a combined dataset

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Khandaker Mohammad Mohi Uddin, Rokaiya Ripa, Nilufar Yeasmin, Nitish Biswas et al.

Journal: Intelligence-Based MedicineYear: 2023Citations: 49

Nowadays, one of the most important illnesses is a heart disease which causes most patients dead. The medical diagnosis of heart disease is quite difficult. This diagnosis is a challenging process that requires accuracy and efficiency. The chance of death will be decreased with early heart disease d...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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An ensemble machine learning-based approach to predict cervical cancer using hybrid feature selection

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Khandaker Mohammad Mohi Uddin, Abdullah Al Mamun, Anamika Chakrabarti, Rafid Mostafiz et al.

Journal: Neuroscience InformaticsYear: 2024Citations: 44

Cervical cancer has recently emerged as the leading cause of premature death among women. Around 85% of cervical cancer cases occur in underdeveloped countries. There are several risk factors associated with cervical cancer. This study describes a novel predictive model that uses early screening and...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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XML-GBM lung: An explainable machine learning-based application for the diagnosis of lung cancer

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Sarreha Tasmin Rikta, Khandaker Mohammad Mohi Uddin, Nitish Biswas, Rafid Mostafiz et al.

Journal: Journal of Pathology InformaticsYear: 2023Citations: 44

Lung cancer has been the leading cause of cancer-related deaths worldwide. Early detection and diagnosis of lung cancer can greatly improve the chances of survival for patients. Machine learning has been increasingly used in the medical sector for the detection of lung cancer, but the lack of interp...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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AirNet: predictive machine learning model for air quality forecasting using web interface

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Md Mahbubur Rahman, Md. Nayeem, Md. Shorup Ahmed, Khadiza Akther Tanha et al.

Journal: ENVIRONMENTAL SYSTEMS RESEARCHYear: 2024Citations: 43

Air is one of the most significant elements of the environment. The increasing global air pollution crisis poses an unavoidable threat to human health, environmental sustainability, ecosystems, and the earth's climate. Air pollution has been referred to as a silent killer due to its insidious nature...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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DFU_XAI: A Deep Learning-Based Approach to Diabetic Foot Ulcer Detection Using Feature Explainability

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S. K. Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin et al.

Journal: Biomedical Materials & DevicesYear: 2024Citations: 38
Health SciencesMedicineEndocrinology, Diabetes and Metabolism
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Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

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Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Hafiz Md. Hasan Babu, Md. Mahbubur Rahman et al.

Journal: Intelligent Systems with ApplicationsYear: 2022Citations: 30

Early detection and characterization are considered crucial in treating and controlling the chronic renal disease. Because of the rising number of patients, the high risk of progression to end-stage renal disease, and the poor prognosis of morbidity and mortality, chronic kidney disease (CKD) is a s...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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DFU_MultiNet: A deep neural network approach for detecting diabetic foot ulcers through multi-scale feature fusion using the DFU dataset

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S. K. Biswas, Rafid Mostafiz, Bikash Kumar Paul, Khandaker Mohammad Mohi Uddin et al.

Journal: Intelligence-Based MedicineYear: 2023Citations: 28

Diabetic foot ulcer (DFU) is a common problem among people with diabetes that can result in amputation of the affected limb. Modern DFU treatment and diagnosis methods are expensive and time-consuming. Today, the development of the computer-aided diagnosis (CAD) method makes it possible for patholog...

Health SciencesMedicineEndocrinology, Diabetes and MetabolismOpen Access
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A deep CNN approach to detect and classify local fruits through a web interface

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Md Mahbubur Rahman, Md.Abunoman Basar, Tahmina Sultana Shinti, Md. Saikat Islam Khan et al.

Journal: Smart Agricultural TechnologyYear: 2023Citations: 25

An automated fruit identification system may be used in the supermarket to help consumers determine the type and standard of fruits. Automatic fruit categorization and recognition is becoming increasingly popular, but it is also becoming more difficult due to low contrast and ambiguous characteristi...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Ensemble Machine Learning-Based Approach to Predict Cervical Cancer with Hyperparameter Tuning and Model Explainability

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Khandaker Mohammad Mohi Uddin, M. M. H. Bhuiyan, Mirza Nadim Saad, Ashfaqul Islam et al.

Journal: Biomedical Materials & DevicesYear: 2025Citations: 21
Health SciencesHealth ProfessionsHealth Information Management
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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, <scp>SHAP</scp> Analysis, Partial Dependency, and <scp>LIME</scp>

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Md. Manowarul Islam, Habibur Rahman Rifat, M. Shahid, Arnisha Akhter et al.

Journal: Engineering ReportsYear: 2024Citations: 21

ABSTRACT Diabetes is a chronic metabolic disease characterized by elevated blood glucose levels and poses significant health risks, such as cardiovascular disease and cognitive damage. Understanding the causes of diabetes is crucial to managing it and preventing complications. The clinical community...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Radiological impact of ship-breaking operations and container depot explosions on Sitakunda coast, Chattogram, Bangladesh: implications for public health

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Araf Mahmud, M. M. Mahfuz Siraz, Jannatul Mawa Trishna, Mohammad Shafiqul Alam et al.

Journal: International Journal of Environmental & Analytical ChemistryYear: 2025Citations: 17

Ship-breaking on Bangladesh’s Sitakunda coast, the world’s second-largest site, releases residual radioisotopes and trace metals, causing continuous radioactive pollution. Thirty soil samples from ship-breaking yards and nearby areas, including a recent explosion site, were meticulously analysed for...

Physical SciencesEngineeringSafety, Risk, Reliability and Quality
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