Abstract
Accurate weights are essential to safe medication doses, especially in infants. In situations where substantial time passes between measurements, normal infants’ weights can change dramatically and appear at first to be erroneous. Algorithms designed to detect weight errors may give false-positive alerts in these cases, thus reducing the effectiveness of this kind of decision support. We noticed a high rate of false positives in our regression-based error detection algorithm due to …
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