A comparative machine learning and deep learning framework for high-risk lung cancer patient classification, including data preprocessing, SMOTE balancing, feature selection, model evaluation, ROC-AUC analysis, and Streamlit GUI deployment.
PolatSteel/High-Risk-Lung-Cancer-Patient-Classification-Using-Machine-Learning-and-Deep-Learning: A comparative machine learning and deep learning framework for high-risk lung cancer patient classification, including data preprocessing, SMOTE balancing, feature selection, model evaluation, ROC-AUC analysis, and Streamlit GUI deployment.
