https://github.com/mafrs47/lung_cancer_prediction

This project predicts lung cancer risks using machine learning models like Random Forest, Logistic Regression, and SVM. It analyzes patient data with features such as age, smoking habits, and symptoms. Data preprocessing, visualization, and performance evaluation ensure accurate predictions for early diagnosis.

cnn computational-pathology convolutional-neural-networks decision-tree-classifier decision-trees deep-learning gradientboosting histopathology jupyter-notebook lung-cancer multiple-instance-learning scikit-learn svm xgboost

Last synced: 26 Mar 2025