Research & Papers
Accepted
AI-Driven Lung Cancer Screening: A Comparative Analysis of Machine Learning Models
Comparative study of ML classifiers for lung-cancer screening on Kaggle datasets.
- When
- Jul 2024 – Sep 2024
- Role
- Co-author
- Venue
- 2024 International Conference on Modern Logistics and Supply Chain Management
- Conducted a comparative study of machine-learning methods for lung cancer screening using Kaggle datasets, examining differences in predictive performance and high-risk-case detection across classification approaches.
- Implemented a reproducible Python and TensorFlow/Keras workflow for data preprocessing, model training, and held-out testing, evaluating classifiers using accuracy, precision, recall, F1-score, ROC-AUC, and confusion-matrix analysis.
- Synthesized model comparisons and error-analysis findings into a co-authored research paper accepted at the 2024 International Conference on Modern Logistics and Supply Chain Management.
Tech stack
- Python
- TensorFlow
- Keras
- Machine Learning