Predicting Protein and Fat Content in Human Donor Milk Using Machine Learning

ConclusionsMachine learning models can provide accurate predictions of macronutrient content in donor milk. The macronutrient content of pooled milk had a lower prediction error, reinforcing the value of pooling practices. Future research should examine how macronutrient content predictions can be used to facilitate milk bank pooling strategies.
Source: Journal of Nutrition - Category: Nutrition Source Type: research