System Design for Epidemics Using Machine Learning and Deep Learning

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment, focusing on research directions to address challenges during the Covid-19 pandemic. It aims to show how healthcare providers can use technology to exploit advances in ML and deep learning for applications such as remote patient monitoring, data analysis, and real-time decision-making.

Format: Hardback
Length: 325 pages
Publication date: 02 February 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into the manifold benefits of integrating Machine Learning (ML) and Artificial Intelligence (AI) into the healthcare landscape. The authors embark on an insightful exploration of diverse research directions aimed at addressing the formidable challenges posed by the pandemic crisis in constructing robust healthcare infrastructure. They keenly observe the obstacles encountered during the urgent rush to develop and adapt technologies, recognizing the invaluable lessons learned from these experiences. Their objective is to demonstrate how healthcare providers can harness the power of technology to capitalize on advancements in machine learning and deep learning, thereby enhancing their own applications. The book encompasses a wide range of topics, including remote patient monitoring, comprehensive data analysis of human behavioral patterns, and the application of machine learning for real-time decision-making. By undertaking this in-depth examination, the authors aim to provide valuable insights and practical strategies for healthcare professionals seeking to leverage the transformative potential of ML and AI in improving patient outcomes and advancing the field of healthcare.

Weight: 688g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031197512
Edition number: 1st ed. 2023