Titlebook: Evolving Role of AI and IoMT in the Healthcare Market; Fadi Al-Turjman,Manoj Kumar,Akashdeep Bhardwaj Book 2021 The Editor(s) (if applicab

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https://doi.org/10.1057/978-1-137-52099-9n of the systems used for monitoring. One of the recent advancement in sensor technology improves the quality and reliability of the sensed data is using multisensor fusion and integration. The reason behind the requirement of reliability is insulin for type 1 and type 2 need to be tested often vary

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A Study of Time Series Forecasting Techniques for COVID-19 Trends,ponential smoothing, ARIMA and LSTM—to daily reports of total and new COVID cases in India, China and the USA. The analysis suggests that limited-sized time series datasets with contextual information are better forecasted with traditional methods like ARIMA, while large datasets render themselves more naturally to deep learning methods.

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,Diagnosing Alzheimer’s Disease Using Deep Learning Techniques,nological world to perform computer-based diagnosis. In the past decades, a strong effort has been made to understand the biological functions and implement those parameters on the deep learning model. Improvements in clinical infrastructure, clinical governance, and its services will improve the care of patients with Alzheimer’s Disease.

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oT based applications.This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of

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d the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.  .978-3-030-82081-7978-3-030-82079-4