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Electronic Resource

Explainable AI in Healthcare and Medicine

Shaban-Nejad, Arash - Personal Name; Michalowski, Martin - Personal Name; Buckeridge, David L. - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001473EB0002079610.285 63 ExpCentral Library (OPAC)Available
Detail Information
Series Title
Studies in Computational Intelligence
Call Number
610.285 63 Exp
Publisher
Switzerland : Springer Cham., 2020
Collation
xxii, 344p.:Ill
Language
English
ISBN/ISSN
978-3-030-53352-6
Classification
610.285 63
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Artificial intelligence--Medical applications
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

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  • Explainable AI in Healthcare and Medicine
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