IoT-Based Data Analytics for the Healthcare Industry : Techniques and Applications Paperback / softback
Edited by Sanjay Kumar (IIT (ISM), Dhanbad, India) Singh, Ravi Shankar (IIT (BHU), Varanasi, India) Singh, Anil Kumar (Banaras Hindu University, India) Pandey, Sandeep S (University of Mumbai, Mumbai, India) Udmale, Ankit (The University of Missouri, Saint Louis, USA) Chaudhary
Part of the Intelligent Data-Centric Systems series
Paperback / softback
Description
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics.
The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies.
The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data.
These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up.
Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information.
With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:340 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:11/11/2020
- Category:
- ISBN:9780128214725
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:340 pages
- Publisher:Elsevier Science Publishing Co Inc
- Publication Date:11/11/2020
- Category:
- ISBN:9780128214725