Exploring predictors of interaction among low-birth-weight infants and their caregivers: a machine learning-based random forest approach

• 主要な著者: Qihui Wang (著者), Wenying Gao (著者), Yi Duan (著者), Zijin Ren (著者), Ying Zhang (著者)
• フォーマット: 図書
• 出版事項: BMC, 2024-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

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...