In a recent press release, NFANT Labs presented initial results of their nfant Analytics feeding platform at the 2017 annual Hot Topics in Neonatology Conference in Washington, D.C., held December 11-13, 2017.
The poster presentation, “Machine Learning Techniques Indicate Relative Risk for Underlying Post Discharge Feeding Issues,” reviewed findings from data collected using nfant Feeding Solution by researchers at the University of Kentucky. Machine learning algorithms were trained utilizing data from infants who experienced difficulty feeding that persisted after discharge from the Neonatal ICU (NICU). When these algorithms were applied to infants identified as “low risk” for developmental issues by the Hospital’s routine examination, 92% were identified as having a high potential for feeding issues.