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Software as a Medical Device : Regulating AI in Healthca..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,

Ahmad, Muhammad Aurangzeb ; Overman, Steve ; Allen, Christine... - p. 4023-4024 , 2021

Link: https://dl.acm.org/doi/10.1145/3447548.3470823

RT 
T1 <cTitle>Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>Software as a Medical Device				: Regulating AI in Healthcare via Responsible AI</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3470823&Exemplar=1&LAN=DE
				
A1 Ahmad, Muhammad Aurangzeb
A1 Overman, Steve
A1 Allen, Christine
A1 Kumar, Vikas
A1 Teredesai, Ankur
A1 Eckert, Carly
PB ACM
YR 2021
K1 ai in healthcare
K1 explainable ai
K1 fairness in machine learning
K1 interpretable machine learning
K1 responsible ai
K1 xai
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Models of learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
SP 4023
OP 4024
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3470823
DO https://dl.acm.org/doi/10.1145/3447548.3470823
SF ELIB - SuUB Bremen

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