Arbeitstagung Neurointensivmedizin 41. Jahrestagung der DGNI und DSG

A gap analysis of common data elements for machine learning in neurocritical care

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Disclosures
This work was supported by the U.S. Assistant Secretary of Defense for Health Affairs, through the Defense Medical Research and Development Program / Joint Program Committee 6 / Combat Casualty Care Research Program / Precision Trauma Care Research Award under Award No. W81XWH-19-2-0013. Opinions, interpretations, conclusions, and recommendations are those of the author and are not necessarily endorsed by the U.S. Department of Defense.

Kayleigh Kenny

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