Big Healthcare Data Analytics: Challenges and Applications

Abstract

Increasing demand and costs for healthcare, exacerbated by ageing populations and a great shortage of doctors, are serious concerns worldwide. Consequently , this has generated a great amount of motivation in providing better health-care through smarter healthcare systems. Management and processing of health-care data are challenging due to various factors that are inherent in the data itself such as high-dimensionality, irregularity and sparsity. A long stream of research has been proposed to address these problems and provide more efficient and scalable healthcare systems and solutions. In this chapter, we shall examine the challenges in Chonho Lee's work was done while he was at 11 12 C. Lee et al. designing algorithms and systems for healthcare analytics and applications, followed by a survey on various relevant solutions. We shall also discuss next-generation healthcare applications, services and systems, that are related to big healthcare data analytics.