Titlebook: IoT and ML for Information Management: A Smart Healthcare Perspective; Suyel Namasudra Book 2024 The Editor(s) (if applicable) and The Aut

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Internet of Things and Machine Learning for Smart Healthcare,hcare is seamlessly integrating this digitized data with real-time data streams from Internet of Things (IoT) devices. This integration is poised to foster the development of Personal Health Records, culminating in a decentralized, interoperable, and comprehensive health history that can be shared a

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E-Healthcare Data Management Using Machine Learning and IoT,ine learning (ML) in remote healthcare environments. It scrutinizes how interconnected devices enable real-time data acquisition thereby, fostering continuous monitoring and tailored patient care delivery. Through a detailed exploration of innovative EHR-IoT-ML integration, encompassing biometrics a

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Machine Learning and IoT in Precision Healthcare, of their particular traits, genetic makeup, and environmental influences. By facilitating the collection, analysis, and use of extensive and real-time healthcare data, Machine Learning (ML) and Internet of Things (IoT) technologies have created new opportunities for achieving precision healthcare.

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Machine Learning and IoT in Health 4.0,vast quantities of data and are able to make decisions without the need for human interaction are at the core of Health 4.0 concept. In order to achieve intelligent and interconnected health care delivery, the process of delivering health care must integrate the Internet of Things (IoT), Radio Frequ

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Utilizing Artificial Intelligence and IoT Technologies for Enhanced COVID-19 Diagnosis,ss forecast. As a result, the Internet of Things and artificial intelligence techniques are crucial for identifying and predesignating the illness so that patients can receive the proper medication and care as soon as possible. To accomplish the above-mentioned goal, several datasets are examined an

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Analysing e-Healthcare Data from Internet of Things Devices and Cloud Computing,of Things (IoT) medical devices and cloud computing. With the increasing use of computing devices in healthcare, there is a need for efficient methods to process and analyze vast amounts of data for real-time processing, data security, privacy, and sharing. The chapter conducts a comprehensive revie

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Toward Smart Healthcare: Challenges and Opportunities in IoT and ML,ystem, centered around hospitals and clinics, has proven inadequate in the face of such challenges. Intelligent wearable devices, a key part of modern healthcare, leverage Internet of Things technology to collect extensive data related to the environment as well as psychological, behavioral, and phy

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https://doi.org/10.1007/978-981-97-5624-7Health 4; 0; Cyber-Physical System; Healthcare Data Security; Authentication; Electronic Health Record; Te