Processing and analyzing health data in a big data context: Aspects and implementations

Abstract

Nowadays, the development of machine learning algorithms and big data frameworks make the processing of data a major asset in different sectors. Indeed, this technology allows us to carry out in-depth analyzes of large masses of data and thus generate very useful results for decision-making. Among the sectors where this technology is used is that of health in which analysis and prevention are essential to improve the quality of health care. Our research focuses on improving the application of this technology in the health field. In this paper we will present big data aspects, give some implementations and discuss different big data architectures in healthcare sector.