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 …
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
