Description: Explainable AI in Healthcare and Medicine : Building a Culture of Transparency and Accountability, Hardcover by Shaban-nejad, Arash (EDT); Michalowski, Martin (EDT); Buckeridge, David L. (EDT), ISBN 3030533514, ISBN-13 9783030533519, 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 Transparency and Accountability
Item Length: 9.3in
Item Width: 6.1in
Author: Martin Michalowski
Format: Hardcover
Language: English
Topic: Engineering (General), Intelligence (AI) & Semantics, Biomedical
Publisher: Springer International Publishing A&G
Publication Year: 2020
Genre: Technology & Engineering, Computers
Item Weight: 25.3 Oz
Number of Pages: Xxii, 344 Pages
