Explainable ai in healthcare and medicine

Rubriek: Textual/Printed/Reference Materials - Boek

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Uiterlijk 28 januari in huis

This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine.

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.

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Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 03 november 2021

Aantal pagina's: 344

Hoofdredacteur: Arash Shaban-Nejad

Tweede Redacteur: Martin Michalowski

Hoofduitgeverij: Springer Nature Switzerland AG

Editie: 1st ed. 2021

Product breedte: 155 mm

Product lengte: 235 mm

Studieboek: Ja

Verpakking breedte: 155 mm

Verpakking hoogte: 235 mm

Verpakking lengte: 235 mm

Verpakkingsgewicht: 563 g

EAN: 9783030533540

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