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Application of Statistical Analysis and Machine Learning to Identify Infants’ Abnormal Suckling Behavior
OBJECTIVE: Identify infants with abnormal suckling behavior from simple non-nutritive suckling devices. BACKGROUND: While it is well known breastfeeding is beneficial to the health of both mothers and infants, breastfeeding ceases in 75 percent of mother-child dyads by 6 months. The current standard
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