The Lung Cancer Prediction System Improves the Early Diagnosis of Lung Cancer by Using an Artificial Neural Network (ANN) Algorithm

An Artificial Neural Network (ANN) method is used by the Lung Cancer Prediction System to improve lung cancer early detection. The technology finds underlying patterns linked to malignant growth by examining patient data, including medical history, lifestyle choices, and test findings. An extensive dataset of past patient records is used to train the ANN model, which uses intricate relationships in the data to discern between benign and malignant instances. This method greatly increases prediction accuracy, allowing medical practitioners to more accurately determine a patient's risk of developing lung cancer. The system's strength is its capacity to learn and adapt over time, improving its predictions as new information becomes available. With the use of this instrument, early diagnosis can result in quicker intervention, which could save lives. By The Lung Cancer Prediction System seeks to transform the way that cancer is diagnosed by applying cutting-edge machine learning techniques, providing a dependable way to manage healthcare in a proactive manner.