Big Data and Predictive Health Analysis

Abstract

Big Data offers new opportunities to the health sector to improve healthcare quality, optimize resources, and make organizations more efficient. A correct analysis of the amount of data generated in health can lead to a personalized and predictive medicine that helps save lives. A Big Data project supported by experts in health and information technology can be of great support for this sector. Big Data is an irrepressible reality in the health sector. With the implementation of clinical histories, the volume of information that is collected is growing and easier to analyze. It is important to take advantage of these data to know in depth how the different conditions in the sectors of the population are maintained, modified or behave, once they have been treated, diagnosed and treated. This follow-up is important and possible thanks to the use of technologies and Big Data and Analytics. Big Data, rather than grouping data and statistics, provides intelligence to investigate, prevent, eradicate pathologies, and improve patient care, among others, as well as facilitating decision-making. This article presents an analysis of Big Data, its applications in health and the type of predictive analysis that is possible to perform, as is the case of artificial neural networks.