IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Big Data, Data Mining, and Data Analytics in IoT-Based Healthcare Applications

Big Data, Data Mining, and Data Analytics in IoT-Based Healthcare Applications
View Sample PDF
Author(s): Isakki Alias Devi P (Ayya Nadar Janaki Ammal College, India)
Copyright: 2020
Pages: 19
Source title: Incorporating the Internet of Things in Healthcare Applications and Wearable Devices
Source Author(s)/Editor(s): P. B. Pankajavalli (Bharathiar University, India)and G. S. Karthick (Bharathiar University, India)
DOI: 10.4018/978-1-7998-1090-2.ch014

Purchase

View Big Data, Data Mining, and Data Analytics in IoT-Based Healthcare Applications on the publisher's website for pricing and purchasing information.

Abstract

IoT seriously impacts every industry. The healthcare industry has experienced progression in digitizing medical records. Healthcare services are costlier than ever. Data mining is one of the largest challenges to face IoT. Big Data is an accumulation of data. IoT devices receive lots of data. Big data systems can do a lot of data analytics. The tools can also be used to perform these operations. The big health application system can be built by integrating medical health resources using intelligent terminals, internet of things (IoT), big data, and cloud computing. People suffer from many diseases. A big health system can be applied to scientific health management by detecting risk factors for the occurrence of diseases. Patients can have special attention to their health requirements and their devices can be tuned to remind them of their appointments, calorie count, exercise check, blood pressure variations, symptoms of any diseases, and so much more.

Related Content

Sharon L. Burton. © 2024. 25 pages.
Laura Ann Jones, Ian McAndrew. © 2024. 24 pages.
Olayinka Creighton-Randall. © 2024. 14 pages.
Stacey L. Morin. © 2024. 11 pages.
N. Nagashri, L. Archana, Ramya Raghavan. © 2024. 22 pages.
Esther Gani, Foluso Ayeni, Victor Mbarika, Abdullahi I. Musa, Oneurine Ngwa. © 2024. 25 pages.
Sia Gholami, Marwan Omar. © 2024. 18 pages.
Body Bottom