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Browsing Faculty of Science and Information Technology by Subject "Machine Learning in Healthcare"

Browsing Faculty of Science and Information Technology by Subject "Machine Learning in Healthcare"

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  • Deep Learning Approach to Detect Counterfeit Medicine in Bangladesh 
    Shejuty, Mst. Sanjana Mahin (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-10-03)
    In Bangladesh, counterfeit medications pose a serious threat to public health since they reduce treatment ability and erode public confidence in the medical establishment. This thesis focuses on creating a deep learning-based ...
  • Detection of Sleep Stages (NREM, REM, and Wake) from EEG Signals Using Machine Learning 
    Sarkar, Riham; Jahan, Shahrear (Daffodil International University, 2025-05-14)
    Existing automated sleep stage classification techniques tend to focus on NREM and REM but merrily ignore the Wake phase which is essential for studying insomnia. Our aim is to bring a simple and comprehensible machine ...
  • Early Detection of Cardiovascular Abnormalities using ECG Data 
    Salman, Shahariar Alam (Daffodil International University, 2025-05-14)
    This study examines the utilization of machine learning algorithms for the early identification of cardiovascular illnesses through electrocardiogram (ECG) data. The study assesses various models, including Support Vector ...
  • Early Heart Disease Prediction Using Supervised Machine Learning: A Performance Evaluation on UCI Data 
    Titu, Shah Alam (Daffodil International University, 2025-05-14)
    Cardiovascular diseases (CVDs) remain a significant public health burden globally and coronary artery disease (CAD) is a major cause of heart attacks. In this paper, we explore the use of machine learning (ML) methods ...
  • Machine Learning Approach for Early Detection Of Diabetes 
    Alam, Iftyar (2025-09-17)
    Technological advancements have led to a closer relationship between the medical industry and machine learning. This study employs machine learning to predict the occurrence of diabetes, a global disease. The aim is to ...
  • Mental Health Prediction Among Medical Students Using Machine Learning 
    Tithi, Nosrat Jahan; Haque, Kazi Zakiul (Daffodil International University, 2025-05-14)
    Mental health is a critical aspect of well-being, influencing individuals' ability to function in daily life and cope with stress. Medical students struggle with depression alongside their demanding academic schedule and ...
  • A novel explainable AI-based approach: early-stage Thyroid disease classification 
    Nizhum, Md. (Daffodil International University, 2024-01-22)
    As of the most current information, thyroid illnesses remain widespread on a worldwide scale. The rate of hypothyroidism among Americans is around 4.6%, with a higher incidence seen in women and older individuals. ...
  • Thyroid Disease Detection Using Machine Learning 
    Ahmed, Md Mostakim; Shathy, Shamira Shams (Daffodil International University, 2025-09-17)
    Thyroid disorders, such as hypothyroidism and hyperthyroidism, are challenging to diagnose due to overlapping symptoms like fatigue and weight changes, compounded by inconsistent medical data. This study leverages machine ...

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