Hi, I'm Nasir Abdulrasheed.
I am a Health Data Scientist and Medical Doctor bridging clinical medicine with cutting-edge technology. My expertise spans data science, machine learning, artificial intelligence, and medical image processing to improve healthcare delivery. Welcome to my digital workspace.
./projects
CXR-LT: Long-Tailed Multi-Label Chest X-Ray Classification
Developed deep learning models using PyTorch and CNN architectures to classify 40 pathologies across a long-tailed distribution of over 600k chest X-ray images.
Predictive Modelling of Wisconsin Breast Cancer Dataset
Investigated Logistic Regression, Random Forest, and XGBoost machine learning models in predicting breast cancer malignancy.
Deep Learning Model for Identifying Pneumonia
Created a deep learning ensemble model using pretrained CNN architectures (ResNet50V2, DenseNet169, Xception) for pneumonia classification.
Predictive Modelling of Temperature
Collaborated to create machine learning regression models (LGBM, NN, KNN, Logistic Regression) to predict temperature.
./research
Recurrent diphtheria outbreaks in Nigeria: A review of the underlying factors and remedies
Immun Inflamm Dis., 11(11):e1096
Abdulrasheed, N., Lawal, L., Mogaji, A. B., Abdulkareem, A. O., Shuaib, A. K., et al.
Neglected tropical diseases in conflict-affected areas in Africa: an unknown burden
International Journal of Surgery: Global Health, 6(5):e0250
Aborode, A. T., Obianuju, A. F., Lawal, L., Abdulrasheed, N., et al.
The COVID-19 pandemic and health workforce brain drain in Nigeria
International journal for equity in health, 21(1), 174
Lawal, L., Lawal, A. O., Amosu, O. P., Muhammad-Olodo, A. O., Abdulrasheed, N., et al.
The syndemic burden of HIV/AIDS in Africa amidst the COVID-19 pandemic
Immunity, inflammation and disease, 10(1), 26–32
Uwishema, O., Taylor, C., Lawal, L., Hamiidah, N., Robert, I., Nasir, A., et al.