Description: Explainable Ai in Healthcare and Medicine : Building a Culture of Transparency and Accountability, Paperback by Shaban-nejad, Arash (EDT); Michalowski, Martin (EDT); Buckeridge, David L. (EDT), ISBN 3030533549, ISBN-13 9783030533540, Like New Used, Free shipping in the US 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 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.
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Book Title: Explainable Ai in Healthcare and Medicine : Building a Culture of
Number of Pages: Xxii, 344 Pages
Language: English
Publication Name: Explainable Ai in Healthcare and Medicine : Building a Culture of Transparency and Accountability
Publisher: Springer International Publishing A&G
Subject: Engineering (General), Intelligence (Ai) & Semantics, Biomedical
Publication Year: 2021
Type: Textbook
Item Weight: 19.9 Oz
Author: Martin Michalowski
Subject Area: Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Trade Paperback
