Why is High Dimensional Data Important in Epidemiology?
High dimensional data is crucial in epidemiology because it allows researchers to explore complex relationships between variables that can affect health outcomes. For instance, understanding the genetic basis of diseases like cancer or diabetes requires the analysis of vast amounts of data. These datasets enable the identification of biomarkers, the understanding of disease mechanisms, and the development of personalized treatment strategies.
