Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2
AWS Machine Learning Blog
JANUARY 13, 2023
It involves training a global machine learning (ML) model from distributed health data held locally at different sites. They were admitted to one of 335 units at 208 hospitals located throughout the US between 2014–2015. The eICU data is ideal for developing ML algorithms, decision support tools, and advancing clinical research.
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