Milk Composition Is Predictive of Low Milk Supply Using Machine Learning Approaches.

ABSTRACT: Background/Objectives: The causes of low milk supply are multifactorial, including factors such as gene mutations, endocrine disorders, and infrequent milk removal. These factors affect the functional capacity of the mammary gland and, potentially, the concentrations of milk components. This study aimed to investigate the differences in milk composition between mothers with low and normal milk supply and develop predictive machine learning models for identifying low milk supply. Methods: Twenty-four-hour milk production measurements were conducted using the test-weigh method. An array of milk components was measured in 58 women with low milk supply (<600 mL/24 h) and 106 with normal milk supply (≥600 mL/24 h). Machine learning algorithms were employed to develop prediction mo

SUBMITTER: Jin X 

PROVIDER: S-EPMC11764425 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature