Big Data for Health Data Analytics and Decision Support

Abstract

This chapter demonstrates the application of CBR as part of ontologies and examines one vital advantage: enhanced care delivery in the healthcare sector. The content standards are as follows: mapping of key concepts of big data in health sciences, understanding various data types, including EHRs, genomic data, wearable sensor data, and methods of acquisition; and data fusion with concerns. This chapter seeks to redress this shortcoming by exploring a CBR approach within ontologies with the intention of improving the use and integration of data through ontology support to arrive at improved clinical choices and decision-making regarding personalised medicine. The chapter will describe the use of big data and its options for further control, along with examples of Big Data in cancer research and chronic diseases. The last section will highlight the future trends and ethical implications of health data analytics and the evolved role of CBR in taking the health technological landscape forward.