Shulph Ink
Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models
Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models
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The book "Emerging Technologies for Healthcare" discusses IoT-based solutions for the automated healthcare sector, using advanced deep learning techniques for disease analysis and prediction. It provides healthcare solutions for post COVID-19 outbreaks, personality prediction through handwriting recognition, and sentiment analysis. It covers theoretical approaches, algorithms, and optimization techniques, serving as a single source for solving various problems via machine learning algorithms.
Format: Hardback
Length: 442 pages
Publication date: 17 September 2021
Publisher: John Wiley & Sons Inc
“Emerging Technologies for Healthcare” is a comprehensive guide that delves into the realm of innovative healthcare solutions, leveraging the power of IoT and advanced deep learning techniques. The book offers practical approaches and methodologies for disease analysis and prediction, employing a diverse range of machine learning techniques.
One notable example is the use of a three-dimensional matrix approach to treat chronic kidney disease, diagnose and predict acquired demyelinating syndrome (ADS) and autism spectrum disorder, and detect pneumonia. Furthermore, the book provides valuable healthcare solutions for post-COVID-19 outbreaks through tailored approaches.
In addition, the book discusses a detailed detection mechanism for predicting personality through handwriting recognition, as well as novel approaches for sentiment analysis utilizing comprehensive data and its dimensions. This book goes beyond theoretical concepts and algorithms, providing a step-by-step framework for analyzing problems involving data, processes, reports, and optimization techniques. It serves as a valuable resource for solving diverse healthcare challenges using machine learning algorithms.
By exploring these emerging technologies, “Emerging Technologies for Healthcare” empowers healthcare professionals and researchers to advance patient care and improve outcomes through data-driven insights and intelligent systems.
Weight: 712g
Dimension: 161 x 238 x 29 (mm)
ISBN-13: 9781119791720
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