Deep Learning for Healthcare Decision Making

Health care today suffers from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. This book aims to unleash the hidden potential of health information and technology to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms.

Format: Hardback
Length: 272 pages
Publication date: 10 February 2023
Publisher: River Publishers

The healthcare industry is currently facing significant challenges due to siloed and fragmented data, delayed clinical communications, and disparate workflow tools. These issues arise from the lack of interoperability caused by vendor-locked healthcare systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. However, the health information industry is poised for remarkable growth and advancement. This book aims to unlock the vast potential of health information and technology by presenting a comprehensive exploration of the field.

Throughout this book, we aim to amalgamate diverse perspectives, guidelines, and frameworks to enable personalized healthcare service options through the successful application of deep learning frameworks. The progress of the healthcare sector will be incremental as it learns from associations between data over time through the use of suitable AI, deep net frameworks, and patterns.

The primary challenge healthcare faces is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare, as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning algorithms.

The specific focus of this book will be on the application of deep learning in various areas of healthcare, including clinical trials, telemedicine, health records management, and more. By leveraging the power of deep learning, healthcare providers can enhance patient care, improve outcomes, and reduce costs.

In conclusion, the healthcare industry is undergoing a transformative period driven by the potential of health information and technology. This book aims to provide a comprehensive guide to unlocking the full potential of deep learning in healthcare and paving the way for personalized and efficient healthcare services.

Weight: 730g
Dimension: 234 x 156 (mm)
ISBN-13: 9788770223898