System Design for Epidemics Using Machine Learning and Deep Learning

The book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment, focusing on challenges faced in building strong healthcare infrastructure during the pandemic crisis and obstacles faced in the rush to develop and alter technologies. It aims to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications, including remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

Format: Paperback / softback
Length: 325 pages
Publication date: 02 February 2024
Publisher: Springer International Publishing AG

The book delves into the advantages of employing Machine Learning (ML) and Artificial Intelligence (AI) in the healthcare sector. The authors examine various research directions that address the challenges posed by the pandemic crisis in establishing a robust healthcare infrastructure. They acknowledge the obstacles encountered during the rapid development and modification of technologies during the Covid crisis and explore the lessons learned and potential benefits that can be harnessed effectively. The authors aim to demonstrate how healthcare providers can leverage advances in ML and deep learning to enhance their own applications. The book covers topics such as remote patient monitoring, data analysis of human behavioral patterns, and machine learning for real-time decision-making.

Dimension: 235 x 155 (mm)
ISBN-13: 9783031197543
Edition number: 1st ed. 2023