Deploying and evaluating a machine learning intervention on clinical care and patient outcomes is a key step in moving clinical deterioration models from b
Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration model
Deploying and evaluating a machine learning intervention to improve clinical care and patient outcomes is a key step in moving clinical deterioration models from byte to bedside, according to a June 13 editorial in Critical Care Medicine that comments on a Mount Sinai study published in the same issue.
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According to the speaker, the complexity of immune-related adverse events resulting from immune checkpoint inhibitors requires a lot of collaborative discussion between patients and providers.