Emerging Technologies for Healthcare: Revolutionizing Disease Analysis and Prediction

By Monika Mangla, Nonita Sharma, Poonam Garg, Vaishali Wadhwa, Thirunavukkarasu K, and Shahnawaz Khan, this comprehensive book delves into the realm of IoT-based solutions for the automated healthcare sector, harnessing the power of advanced deep learning techniques to provide feasible solutions for various healthcare challenges.

Machine Learning Approaches for Disease Analysis and Prediction

The book explores various machine learning approaches, applying them to disease analysis and prediction, including the employment of a three-dimensional matrix approach for treating chronic kidney disease, diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, as well as the detection of pneumonia.

Post COVID-19 Outbreaks: Novel Healthcare Solutions

In addition, the book provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, offering valuable insights for healthcare professionals and researchers alike.

Novel Approaches for Sentiment Analysis and Personality Prediction

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

This book is a treasure trove of theoretical approaches, algorithms, and practical step-by-step guides for analyzing problems with data, processes, reports, and optimization techniques. It serves as a single source for solving various problems via machine learning algorithms, making it an indispensable resource for researchers, healthcare professionals, and students alike.

Product Details:
Publisher: Wiley-Scrivener
Edition: 1st edition (August 2, 2021)
Language: English
Hardcover: 416 pages
ISBN-10: 1119791723
ISBN-13: 978-1119791720

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