Deep Learning for the Early Diagnosis of Candidemia.

In phase 2, another machine learning model (random forest) appeared to show a numerical trend in improving the diagnostic performance of serum BDG and PCT alone by exploiting additional nonspecific markers, although only minimally and not in a clinically significant way [ 13 ].

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