IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications

Explore the latest advancements in healthcare industry data analysis through IoT data analytics with this comprehensive guide. Discover how to analyze ubiquitous data generated by the healthcare industry, from various sources including patients, doctors, hospitals, and health insurance companies.

A Deep Dive into AI Solutions

Learn about 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.

Challenges, Opportunities, and Future Research Directions

Understand the challenges, opportunities, and future research directions in IoT data analytics for the healthcare industry. This book also delves into the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up.

Transforming Data into Information

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.

State-of-the-Art Methods and Current Trends

Get insights into state-of-art methods and current trends in data analytics for the healthcare industry. This book addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques.

AI Techniques for the Healthcare Industry

Discover several potential AI techniques developed using IoT for the healthcare industry. This book is a must-read for anyone looking to understand the impact of IoT and data analytics on the healthcare industry.

About the Author

Sanjay Kumar Singh is an accomplished author with a deep understanding of IoT and data analytics in the healthcare industry. His work provides valuable insights into the techniques and applications of IoT data analytics.