AI for Health Equity and Fairness: Leveraging AI to Address Social Determinants of Health (Studies in Computational Intelligence, 1164). Este artículo no está disponible.
Idioma: inglés
Editorial: Springer, 2024
- Tapa dura
- Nuevo
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Vendedor de IberLibro desde 25 de marzo de 2015
Condición: Nuevo
EUR 256,89
Descripción del artículo del vendedor
In English.
N° de ref. del artículo ria9783031635915_new
- Título
- AI for Health Equity and Fairness: Leveraging AI to Address Social Determinants of Health (Studies in Computational Intelligence, 1164)
- Editorial
- Springer
- Año de publicación
- 2024
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 3031635914
- ISBN 13
- 9783031635915
- Peso del artículo
- 757 gramos
This book aims to highlight the latest achievements in the use of AI for improving Health Equity and Fairness. The edited volume contains selected papers presented at the 2024 Health Intelligence workshop, co-located with the Thirty-Eight Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health.
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
This book aims to highlight the latest achievements in the use of AI for improving Health Equity and Fairness. The edited volume contains selected papers presented at the 2024 Health Intelligence workshop, co-located with the Thirty-Eight Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health.
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