Emerging Technologies for Healthcare: Internet of Things and Deep Learning Models - Rilegato

Rilegato

ISBN 10: 1119791723 ISBN 13: 9781119791720

Casa editrice: Wiley-Scrivener, 2021

Riassunto

?Emerging Technologies for Healthcare? beginnt mit einer IoT-basierten Lösung für die Automatisierung im Gesundheitssektor, wodurch Verfahren auf Grundlage von fortschrittlichen Deep-Learning-Techniken ermöglicht werden.

Praktische Lösungen, die auf verschiedenen Ansätzen des maschinellen Lernens beruhen, werden vorgestellt und auf die Analyse und Vorhersage von Krankheiten angewandt. Ein Beispiel ist die Nutzung einer dreidimensionalen Matrix für die Behandlung chronischer Nierenerkrankungen, die Diagnose und Prognose des erworbenen demyelinisierenden Syndroms und von Autismus-Spektrum-Störungen sowie die Erkennung von Lungenentzündungen. Außerdem werden verschiedene geeignete Ansätze vorgestellt, wie die Gesundheitssysteme mit COVID-19-Fällen umgehen können. Daneben wird ein detaillierter Erkennungsmechanismus dargelegt, mit dessen Hilfe Lösungen entwickelt werden können, um von der Handschrift auf die Persönlichkeit zu schließen, und es werden neuartige Ansätze für die Stimmungsanalyse aufgezeigt, die mit ausreichenden Daten und verschiedenen Betrachtungsweisen untermauert sind.

Dieses Buch enthält nicht nur theoretische Ansätze und Algorithmen, sondern zeigt auch auf, welche Schritte bei der Problemanalyse mithilfe von Daten, Prozessen, Berichten und Optimierungstechniken durchlaufen werden. Es ist ein umfassendes Nachschlagewerk für die Lösung verschiedener Probleme anhand von Algorithmen für das maschinelle Lernen.

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Informazioni sull?autore

Monika Mangla, received her PhD from Thapar Institute of Engineering & Technology, Patiala, Punjab, in 2019. Currently, she is working as an assistant professor in the Department of Computer Engineering at Lokmanya Tilak College of Engineering (LTCoE), Navi Mumbai.

Nonita Sharma is working as assistant professor, National Institute of Technology, Jalandhar. She received the B. Tech degree in Computer Science Engineering in 2002, the M. Tech degree in Computer Science engineering in 2004, and her PhD degree in Wireless Sensor Network from the National Institute of Technology, Jalandhar, India in 2017.

Poonam Mittal received her PhD from J.C Bose University of Science and Technology YMCA, Faridabad, India, in 2019. Currently, she is working as an assistant professor in the Department of Computer Engineering at J.C Bose University of Science and Technology YMCA, Faridabad, India.

Vaishali Mehta Wadhwa obtained her PhD in Facility Location Problems from Thapar University. Her research interests include approximation algorithms, location modeling, IoT, cloud computing and machine learning. She has multiple articles and 2 patents to her name.

Thirunavakkarasu K. is a distinguished academician with over twenty-two years of experience in teaching and working in the software industry. Curently, he is heading the Department of BCA and Specialization at Galgotias University. He has done Bachelor in computer science from the University of Madras in 1994 and received 3 master’s degrees in computer science.

Shahnawaz Khan is an assistant professor and serving as Secretary-General of Scientific Research Council at University College of Bahrain. He holds a PhD (Computer Science) from the Indian Institute of Technology (BHU), India.

Dalla quarta di copertina

The book aims to devise new machine learning paradigms to address prevalent challenges in the field of healthcare from multiple perspectives.

Internet of Things (IoT) refers to the computer network consisting of ‘things’ or physical objects. These things comprise sensors or software or a method to connect and exchange data with other devices. This book, Emerging Technologies for Healthcare, focuses primarily on the use and applications of IoT and deep learning approaches for providing automated healthcare solutions. It gives insightful information of data and provides feasible solutions through various approaches of machine learning and its applicability to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition to this, providing healthcare solutions for post COVID-19 outbreaks through various suitable approaches is also highlighted. Furthermore, a detailed detection mechanism is discussed which is used to come up with solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions.

This book covers not only theoretical approaches and algorithms, but also contains a sequence of steps to analyze problems with data, process, reports, and optimization techniques. The book serves to be a single source for various problem-solving by machine learning algorithms. It begins with IoT-based solutions for the automated healthcare sector and extends to providing solutions of deep learning as an advanced technology.

Audience
The book will be used by research scholars, engineers, IT professionals, IT manufacturing industries involved in the associated healthcare fields, network administrators, health care practitioners, cybersecurity experts, and government research agencies.

Dettagli dell?edizione

• Editore: Wiley-Scrivener
• Data di pubblicazione: 2021
• ISBN 10: 1119791723
• ISBN 13: 9781119791720
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 416
• Redattore: Mangla Monika, Sharma Nonita, Garg Poonam, Wadhwa Vaishali, K Thirunavukkarasu, Khan Shahnawaz
• Contatto del produttore: non disponibile