Download the fantastic book titled Explainable AI in Healthcare and Medicine written by Arash Shaban-Nejad, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Explainable AI in Healthcare and Medicine", which was released on 02 November 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Explainable AI in Healthcare and Medicine by Arash Shaban-Nejad PDF
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.
Detail About Explainable AI in Healthcare and Medicine PDF
- Author : Arash Shaban-Nejad
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 344 pages
- ISBN : 3030533522
- Release Date : 02 November 2020
- PDF File Size : 27,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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