Advanced healthcare systems : empowering physicians with IoT enabled technologies /

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Bibliographic Details
Imprint:Hoboken : Wiley, [2022]
Description:1 online resource
Language:English
Series:Artificial Intelligence and Soft Computing for Industrial Transformation
Artificial Intelligence and Soft Computing for Industrial Transformation
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13695822
Hidden Bibliographic Details
Varying Form of Title:Advanced healthcare systems : empowering physicians with internet of things enabled technologies
Other authors / contributors:Balamurugan, S. (Shanmugam), 1985- editor.
Saini, Rakesh, editor.
Bharti, Vishal, editor.
Chithaluru, Premkumar, editor.
ISBN:9781119769286
1119769280
9781119769279
1119769272
1119768861
9781119768869
Notes:Includes bibliographical references and index.
Summary:This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generate - information such as temperature, pressure, humidity, air quality, vibration, and sound - that can be really helpful to rapid diagnosis.
Other form:Print version: 1119768861 9781119768869