Big Data and Precision Oncology in Healthcare

Abstract

Cancer is one of the most prevalent chronic diseases and is incredibly complex in nature. Big data (BD) is helpful in the precision and tailoring of treatment approaches for cancer patients that were never before possible, by linking together diverse datasets. Healthcare scientists are working toward the revolution of more comprehensive cancer treatment, intending to discover accurate, precise, and targeted cancer treatment using BD analytics tools to make a real impact in the fight against cancer. This chapter highlights the prominent role of BD analytics in clinical decisions based on patient health records for the management of cancer. It also spotlights the impact of BD in personalized interactions and its sustenance to diagnose cancer at an earlier phase. Furthermore, precision biomarkers and their function in forecasting the likelihood of a patient developing a malignancy, based on BD, are also addressed. The outcome of BD and predictive analytics are also 48briefed. The importance of BD in the context of EHR systems has also been emphasized. It also outlines the subset of ongoing challenges in computing large datasets by combining expertise from various fields. In addition to recognizing the potential advances in BD and precision oncology, related alarms about potential risks, complex interplay of techniques, and economic forces are briefly deliberated. Evidently, BD has tremendous potential in precision oncology. However, successful exploitation will be contingent on overcoming the hurdles associated with generating and integrating datasets and data analytics.

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