Abstract
This survey paper provides an overview of the advancements in early cancer detection through the application of prediction algorithms. Early detection of cancer plays a crucial role in improving patient outcomes and reducing mortality rates. With the rise of computational technologies and machine learning techniques, predictive algorithms have emerged as powerful tools for identifying potential cancer cases at an early stage. This survey explores various prediction algorithms, their applications, challenges, and future directions in the realm of early cancer detection.
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