Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Langue : anglais

Edité par Taylor and Francis Ltd, GB, 2024

0367548461 / 9780367548469

Série : Livre 12 sur 12 - Biomedical Engineering

Vendeur : Rarewaves.com USA, London, London, Royaume-UniRarewaves.com USA

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A propos de cet article

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications. Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches. Discusses various techniques of IoT systems for healthcare data analytics. Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics. Focuses more on the application of algorithms in various real life biomedical and engineering problems. …

N° de réf. du vendeur LU-9780367548469

Titre
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Auteur
Sujata Dash
Éditeur
Taylor and Francis Ltd, GB
Année de publication
2024
État de l'article
New
Reliure
Paperback
Langue
anglais
ISBN à 10 chiffres
0367548461
ISBN à 13 chiffres
9780367548469
Poids de l'article
540 grammes
Série
Livre 12 sur 12: Biomedical Engineering

Rarewaves.com USA

London, London, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 11 juin 2025

Frais d'expédition de Royaume-Uni vers Etats-Unis

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