An Extensive Examination of Utilizing Big Data Analytics in Cancer Detection Techniques

Cancer is a disease that is defined by a relatively small number of cells in the body developing in an uncontrolled manner and spreading to other organs in the body. Since there are so many cells in the human body, cancer can appear almost anywhere. The second most common cause of mortality worldwide is cancer. However, survival rates are increasing for many cancer types as a result of improvements in cancer screening, therapy, and prevention. Big data can aid in the victory in the fight against cancer. Advanced predictive analysis is poised to revolutionize risk reduction, early illness detection, and the reduction of cancer death rates as a result of the expansion of data mining in the healthcare industry and sophisticated machine learning. Examining, analyzing, classifying, and identifying current limitations in cancer research methodologies is the main objective of this article. Future obstacles to the development of such strategies by medical experts have been recognized following a thorough evaluation, critical assessment, and comparison of the existing literature to state-of-the-art treatments.