Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach
Abstract Background Quality caregiver-infant interaction is crucial for infant growth, health, and development. Traditional methods for evaluating the quality of caregiver-infant interaction have predominantly relied on rating scales or observational techniques. However, rating scales are prone to i...
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BMC,
2024-10-01T00:00:00Z.
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