Название: Smart and Secure Internet of Healthcare Things
Автор: Nitin Gupta, Jagdeep Singh, Chinmay Chakraborty
Издательство: CRC Press
Год: 2023
Страниц: 245
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Internet of Healthcare Things (IoHT) is an Internet of Things (IoT)-based solution that includes a network architecture which allows the connection between a patient and healthcare facilities. This book covers various research issues of smart and secure IoHT, aimed at providing solutions for remote healthcare monitoring using pertinent techniques. Applications of Machine Learning techniques and data analytics in IoHT, along with the latest communication and networking technologies and cloud computing, are also discussed.

Internet of things (IoT) is one of the rapidly expanding technology which is a network of devices or networks connected together to provide real-time information. Machine Learning (ML) is an impactful method for uncovering insights in data from IoT devices. It consists of several procedures that work smartly to enhance different processes like decision-making in a variety of fields, including education, defence, business and the healthcare industry. ML enables IoT to decipher secret patterns in large amounts of data for optimum prediction and recommendation systems. Healthcare has adopted IoT and ML, allowing virtual computers to create medical records, forecast illness diagnosis and, most notably, track patients in real time. In healthcare field, Machine Learning approaches use the growing amount of health data generated by the IoT devices to optimize patient outcomes. These methods offer both exciting applications and major challenges. Medical imaging, natural language interpretation of medical records and genetic knowledge are the three primary fields where Machine Learning is used. Many of these fields are concerned with diagnosis, monitoring and estimation. A vast infrastructure of medical devices currently produces data; however, the enabling infrastructure to properly use the data is often lacking. Many formats in which medical records can be found pose several difficulties in data formatting and can increase noise. Descriptive, exploratory, inferential, statistical and causal data processing methods are the most common.

Features:

Provides a detailed introduction to IoHT and its applications
Reviews underlying sensor and hardware technologies
Includes recent advances in the IoHT, such as remote healthcare monitoring and wearable devices
Explores applications of data analytics/data mining in IoHT, including data management and data governance
Focuses on regulatory and compliance issues in IoHT

This book is intended for graduate students and researchers in Bioinformatics, Biomedical Engineering, Big Data and Analytics, Data Mining, and Information Management, IoT and Computer and Electrical Engineering.