Healthcare Transformation With Clinical Big Data Predictive Analytics

Abstract

Information technology is advancing day by day and it is used in almost every domain to transform it into a digital form. Big data management is a recent advancement to facilitate the management of a massive volume of structured, semi-structured, and unstructured data. The healthcare sectors are also producing a large volume of clinical data (e.g., medical reports, patient history files, and prescriptions) daily. This massive repository of data can be used to develop a predictive model to assist the healthcare experts to diagnose the diseases and suggest the proper medication to the patients. Though there are some serious concerns—legal and ethical—related to access healthcare data. This chapter focuses on providing a solution to find the hidden patterns from the clinical data by using state-of-art methods such as big data analytics, machine learning, and deep learning. The chapter will also discuss the various constraints for adopting predictive analytics in healthcare sectors.

Ähnliche Arbeiten