LUNG CANCER FORECASTING USING HYBRID OPTIMIZATION TECHNIQUE

Lungs are body's oxygen delivery system, controlling the in and out of breath. They also act as air filters, decreasing potential for dust or germs to enter lungs. The lungs have natural defences keep them safe. Nonetheless, they insufficient wholly avert development a number lung illnesses. vulnerable infection, inflammation, possibly malignant tumor. In this study, we used ML methods create accurate models forecasting cancer occurrence progression, so that those at high risk may receive treatment sooner rather than later. paper, propose hybrid LSTM outperforms state-of-the-art using standard metrics precision, F-Measure, recall, & accuracy. particular, experimental assessment demonstrated suggested model was superior with 98.3% accuracy, recall.