Identification of data elements for blood gas analysis dataset: a base for developing registries and artificial intelligence-based systems
Abstract Background One of the challenging decision-making tasks in healthcare centers is the interpretation of blood gas tests. One of the most effective assisting approaches for the interpretation of blood gas analysis (BGA) can be artificial intelligence (AI)-based decision support systems. A pri...
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| Main Authors: | , , , , , , |
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| Format: | Book |
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BMC,
2022-03-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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