Artificial Intelligence Model: Optimizing Cancer Risk Level Predictions Using Machine learning and deep learning approaches

Abstract

This study emphasizes the potential of computational techniques in cancer risk assessment, lighting opportunities for specific and data-driven healthcare solutions. This study examines the use of artificial intelligence (AI), machine learning (ML), and deep learning (DL) approaches to improve cancer risk assessment using a Kaggle dataset.