Name: Handbook of Deep Learning Models for Healthcare Data Processing (Advancements in Intelligent and Sustainable Technologies and Systems) (en Inglés)
SKU: 64530330
Price: 181870.00 CLP
Availability: InStock
Author: Kumar Ajay,Dembla Deepak,Tinker Seema
ISBN: 9781032739397

portada Handbook of Deep Learning Models for Healthcare Data Processing (Advancements in Intelligent and Sustainable Technologies and Systems) (en Inglés)

Handbook of Deep Learning Models for Healthcare Data Processing (Advancements in Intelligent and Sustainable Technologies and Systems) (en Inglés)

Formato

Libro Físico

Editorial

Crc Pr Inc

Autor

Kumar Ajay,Dembla Deepak,Tinker Seema

Idioma

Inglés

N° páginas

310

Encuadernación

Tapa Dura

ISBN13

9781032739397

Handbook of Deep Learning Models for Healthcare Data Processing (Advancements in Intelligent and Sustainable Technologies and Systems) (en Inglés)

Kumar Ajay,Dembla Deepak,Tinker Seema (Autor) · Crc Pr Inc · Tapa Dura

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Reseña del libro "Handbook of Deep Learning Models for Healthcare Data Processing (Advancements in Intelligent and Sustainable Technologies and Systems) (en Inglés)"

In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of deep learning models, techniques, and applications in healthcare data processing, analysis, and disease prediction, providing a comprehensive overview of the field. It focuses on the practical application of deep learning models in healthcare and offers step-by-step instructions for building and deploying models and using real-world examples. The handbook discusses the potential future applications of deep learning models in healthcare, such as precision medicine, personalized treatment, and clinical decision support. It also addresses the ethical considerations associated with the use of deep learning models in healthcare, such as privacy, security, and bias. It provides technical details on deep learning models, including their architecture, training methods, and optimization techniques, making it useful for data scientists and researchers.Written to be a comprehensive guide for healthcare professionals, researchers, and data analysts, this handbook is an essential need for those who are interested in using deep learning models to analyze and process healthcare data. It is also suitable for those who have a basic understanding of machine learning and want to learn more about the latest advancements in deep learning in healthcare.