Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability: 914 (Studies in Computational Intelligence, 914) - Image 1

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Springer Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability: 914 (Studies in Computational Intelligence, 914)

Name: Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability: 914 (Studies in Computational Intelligence, 914)
Brand: Springer
Price: 128.31 GBP
Availability: InStock

AI & Machine Learning

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Description

This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence. From the Back Cover This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3030533549
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 03 November 2021
Listed Since: 08 October 2021

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Springer Explainable AI in Healthcare and Medicine: Building a Culture of Transparency and Accountability: 914 (Studies in Computational Intelligence, 914)

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