Titlebook: Intelligent Healthcare; Infrastructure, Algo Chinmay Chakraborty,Mohammad R. Khosravi Book 2022 The Editor(s) (if applicable) and The Autho

拖網(wǎng)

Internet of Medical Things (IoMT): Applications, Challenges, and Prospects in a Data-Driven Technolod systems, it continues posing several perilous challenges and these keep growing. Therefore, this chapter discussed inherent opportunities and challenges facing data-driven solutions for a secured IoMT. This will broaden the research and reassure the users of IoMT for data-driven solutions in healthcare delivery.

flimsy

Secure and Privacy-Aware Intelligent Healthcare Systems: A Reviewinst Cyber Attack, this chapter presents the overview of security threats and importance of building potential solutions for IoMT network. Moreover, various existing security countermeasures are discussed and creates an intent to implement a novel intrusion detection system to protect the privacy of personal health data.

MURKY

安定

CLAMP

Distributed and Big Health Data Processing for Remote and Ubiquitous Healthcare Services Using Blindrvasive medical systems through medical sensors in an internet of medical things (IoMT)-based intelligent healthcare platform. Blind computing as an outstanding keyword of this research is defined for IoT/IoMT nodes where statistical methods are investigated for making adaptive and high-performance

能夠支付

triptans

Minutes

Breast Cancer Detection Using Particle Swarm Optimization and Decision Tree Machine Learning Techniqional diagnostic process, a realistic and straightforward approach may be achieved through machine learning approaches to detect ailment. Advances in technology, however, generate different kinds of high-dimensioned data, majorly cancer or medical data. Staggeringly high data makes it harder for the

CLAM

legislate