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Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models (Machine Learning in Biomedical Science and Healthcare Informatics) (Original PDF from Publisher)

Revolutionizing Healthcare with Emerging Technologies

Authored by Monika Mangla, Nonita Sharma, Poonam Garg, Vaishali Wadhwa, Thirunavukkarasu K, and Shahnawaz Khan, “Emerging Technologies for Healthcare” pioneers an IoT-based solution for the automated healthcare sector, elevating it with advanced deep learning techniques.

Cutting-Edge Machine Learning Approaches for Disease Analysis and Prediction

This comprehensive book provides feasible solutions through various machine learning approaches, applying them to disease analysis and prediction. It explores innovative methods, such as employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, as well as the detection of pneumonia.

Post-COVID-19 Outbreak Healthcare Solutions

Moreover, the book offers healthcare solutions for post-COVID-19 outbreaks through various suitable approaches, ensuring a comprehensive understanding of the pandemic’s aftermath.

Novel Applications of Machine Learning in Healthcare

A detailed detection mechanism is discussed, which is used to devise solutions for predicting personality through handwriting recognition. Additionally, novel approaches for sentiment analysis are explored, accompanied by sufficient data and its dimensions.

This book serves as a single source for solving various problems via machine learning algorithms, covering not only theoretical approaches and algorithms but also the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques.

Book Details

Publisher: Wiley-Scrivener

Edition: 1st edition (August 2, 2021)

Language: English

Format: Hardcover

Pages: 416

ISBN-10: 1119791723

ISBN-13: 978-1119791720

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