Knowledge Discovery Through Intelligent Data Analytics in Healthcare-Reference-Cited by-同舟云学术

Knowledge Discovery Through Intelligent Data Analytics in Healthcare

Published:2022-09-30 Issue: Volume: Page:115-134
ISSN:2327-3453
Container-title:New Approaches to Data Analytics and Internet of Things Through Digital Twin
language:
Short-container-title:

Author:

S. Kowsalya¹,S. Saraswathi¹

Affiliation:

1. Sri Krishna Arts and Science College, India

Abstract

The chapter aims to embed the demanding computing concepts to attain intelligent data analytics in the domain of healthcare. The targeted outcome provides the pathway to design the brainy decision support system needed to have efficient prediction with trained input patterns. The usage of IoT devices is increasing tremendously to overcome the challenges existing in handling the data related to human-relevant happenings. The volume, velocity, and variety of data are emerging newly and dominating the decision support characteristics. This scenario happens almost in all the computing fields, but more attention is expected to implement in the healthcare sector due to the existence of sensitive data. The traditional data analytics methods are deviating in the performance due to the unpredictable dynamic challenges emerging in the day-to-day operation. The efficient features of demanding computing strategies are motivated to embed together to discover crucial knowledge through intelligent data analytics.

Publisher

IGI Global

Reference10 articles.

1. Adhikari, A., & Adhikari, J. (2015). Advances in Knowledge Discovery in Databases. Springer Publications.

2. Andreev, S., Balandin, S., & Koucheryavy, Y. (2022). Internet of Things, Smart Spaces, and Next Generation Networks and Systems. Springer International Publishing.

3. Ghosh, Shaw, Islam, & Piuri. (2022). AI and IoT for Smart City Applications. Springer.

4. Kumar, R., Srivastava, R., & Balas, V. E. (2019). Recent Trends and Advances in Artificial Intelligence and Internet of Things. Springer International Publishing.

5. Data Mining and Knowledge Discovery Handbook;O.Maimon;Springer,2005