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. - Provides state-of-art methods and current trends in data analytics for the healthcare industry - Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques - Discusses several potential AI techniques developed using IoT for the healthcare industry - Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages

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Yes, you can access IoT-Based Data Analytics for the Healthcare Industry by Sanjay Kumar Singh,Ravi Shankar Singh,Anil Kumar Pandey,Sandeep S Udmale,Ankit Chaudhary,Udmale S.S. in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Biomedical Science. We have over one million books available in our catalogue for you to explore.

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Technology & Engineering

Subtopic

Biomedical Science

Index

Technology & Engineering

IoT-Based Data Analytics for the Healthcare Industry
Cover
Title Page
Copyright
Table of Contents
Contributors
Preface
Chapter 1 Internet of things in the healthcare industry
Chapter 2 IoT healthcare architecture
Chapter 3 Characteristics of IoT health data
Chapter 4 Health data analytics using Internet of things
Chapter 5 Computational intelligence in Internet of things for future healthcare applications
Chapter 6 IoT services in healthcare industry with fog/edge and cloud computing
Chapter 7 Multicriteria decision-making in health informatics using IoT
Chapter 8 A research review on semantic interoperability issues in electronic health record systems in medical healthcare
Chapter 9 IoT for health insurance companies
Chapter 10 Security and privacy challenges in healthcare using Internet of Things
Chapter 11 A secure blockchain-based solution for harnessing the future of smart healthcare
Chapter 12 Designing an effective e-healthcare system using Internet of Things
Chapter 13 Heart rate monitoring system using Internet of Things
Chapter 14 A smart hand for VI: Resource-constrained assistive technology for visually impaired
Chapter 15 MIoT: Medical Internet of Things in pain assessment
Chapter 16 Applications of Internet of Things in animal science
Chapter 17 Internet of animal health things (IoAT): A new frontier in animal biometrics and data analytics research
Chapter 18 Internet of Things for control and prevention of infectious diseases
Chapter 19 Telemedicine system for animal using low bandwidth cellular communication post COVID-19
Chapter 20 Internet of things and other emerging technologies in digital pathology
Index

About this book

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Table of contents