Building Robust Medical Algorithms

The best datasets have the perfect combination of quantity and quality, as well as enough diversity to be fully representative of the different types of patients that the algorithm will be used for. Obtaining high‐quality data for the training and validation of Artificial intelligence (AI) models is...

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Bibliographische Detailangaben

Format:	Buchkapitel
Sprache:	eng
Schlagworte:	data standardization datasets federated learning model performance robust medical algorithms synthetic data
Online-Zugang:	Volltext
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