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Cognitive Analytics and Reinforcement Learning
book

Cognitive Analytics and Reinforcement Learning

by R. Elakkiya, Subramaniyaswamy V.
May 2024
Intermediate to advanced content levelIntermediate to advanced
384 pages
10h 26m
English
Wiley-Scrivener
Content preview from Cognitive Analytics and Reinforcement Learning

13Cognitive Analytics-Based Diagnostic Solutions in Healthcare Infrastructure

Akshay Bhuvaneswari Ramakrishnan1, T. S. Murugesh2*, Sini Raj Pulari3 and Shriram K. Vasudevan4

1Department of Computer Science and Engineering, SASTRA University, Tamil Nadu, India

2Department of Electronics and Communication Engineering, Government College of Engineering Srirangam, Tiruchirappalli, Tamil Nadu, India (On Deputation from Annamalai University, Department of Electronics and Instrumentation Engineering, Faculty of Engineering & Technology, Tamil Nadu, India)

3Tutor – Bahrain Polytechnic, ISA Town, Bahrain

4Lead Technical – Evangelist (Asia Pacific and Japan), Intel India Pvt. Ltd. Bengaluru, Karnataka, India

Abstract

Cognitive computing, a subfield of artificial intelligence, has the potential to completely transform smart cities and healthcare, which is discussed in this chapter, demonstrating how AI-powered technologies are transforming urban environments and medical practices. By incorporating cognitive systems into the infrastructure of smart cities, resource allocation can be optimized, transportation networks can be improved, and citizen services can be enhanced. Successful cognitive technology implementations in cities such as Singapore and Barcelona are illustrated by case studies, easing the way for smarter urban living. In addition, cognitive computing provides healthcare providers with data-driven insights for accurate diagnosis, tailored therapies, and real-time monitoring ...

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Publisher Resources

ISBN: 9781394214037Purchase Link