Sujatha, P. and Mahalakshmi, K. and Sripriya, P. (2022) Big Data Knowledge System in Healthcare: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 39-66. ISBN 9781119792550
Full text not available from this repository. (Request a copy)Abstract
The present society is an Informational Society. The information is essential for industries for accurate results. Knowledge systems integrate the information from multiple sources to extract important insights for decision-making. Due to digitalization, the data available is abundant in all kinds of industry. In order to handle voluminous data and to predict the outcomes accurately, a new framework is evolved using big data and big data analytics. Big data has huge implications for knowledge management. Medical data in the healthcare industry is enormous. In recent years, the healthcare sector is changing from volume-based service industry into value-based service industry, because health is the most precious gift to human beings. Advanced technologies and its related analytical tools increase better healthcare practices and drive human beings into longer life spans. Big data knowledge system has a significant responsibility in the healthcare practices. Big data knowledge systems analyze the large volume of patients' electronic health records and transform the medical information into knowledge for assisting the process of clinical decisions, for recommendation of medicines, and for better diagnoses of diseases. In this chapter, we discuss big data, its applications, and challenges of the big data knowledge system in the healthcare sector
Item Type: | Book Section |
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Subjects: | Computer Science Engineering > Big Data |
Divisions: | Information Technology |
Depositing User: | Mr IR Admin |
Date Deposited: | 18 Sep 2024 08:52 |
Last Modified: | 18 Sep 2024 08:52 |
URI: | https://ir.vistas.ac.in/id/eprint/6350 |