Principles and methods of explainable artificial intelligence in healthcare:

"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, ele...

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Bibliographic Details
Other Authors: Briones, Alfonso Gonzalez (Editor), Bhoi, Akash Kumar (Editor), Srinivasu, Parvathaneni Naga (Editor), Albuquerque, Victor Hugo C De (Editor)
Format: Electronic eBook
Language:English
Published: Hershey, Pennsylvania IGI Global 2022
Subjects:
Links:https://doi.org/10.4018/978-1-6684-3791-9
https://doi.org/10.4018/978-1-6684-3791-9
https://doi.org/10.4018/978-1-6684-3791-9
https://doi.org/10.4018/978-1-6684-3791-9
https://doi.org/10.4018/978-1-6684-3791-9
https://doi.org/10.4018/978-1-6684-3791-9
https://doi.org/10.4018/978-1-6684-3791-9
Summary:"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction.
Item Description:Includes bibliographical references and index. - Mode of access: World Wide Web
Physical Description:1 Online-Ressource (347 Seiten)
ISBN:9781668437926
DOI:10.4018/978-1-6684-3791-9