Big Data Cancer
Big Data Cancer is the use of advanced analytics to integrate and analyze large datasets from disparate sources such as health records, clinical trials, genomic data, and patient surveys for the purpose of developing predictive models to identify the treatment and diagnosis of cancer. Its significance is that it enables faster and more accurate diagnosis of cancer, leading to better treatment outcomes, and improved patient care. Big Data Cancer is also increasingly being used in clinical trials to identify biomarkers, develop personalized treatment plans, and reduce medical costs. It is being utilized by oncologists, researchers, health organizations, pharmaceutical companies, and other healthcare stakeholders as an invaluable tool to enable early detection, better treatment and outcomes, and inform preventive strategies.
← Journal of Big Data Research