Building a predictive model of low birth weight in low- and middle-income countries: a prospective cohort study

• 主要な著者: Jackie K. Patterson (著者), Vanessa R. Thorsten (著者), Barry Eggleston (著者), Tracy Nolen (著者), Adrien Lokangaka (著者), Antoinette Tshefu (著者), Shivaprasad S. Goudar (著者), Richard J. Derman (著者), Elwyn Chomba (著者), Waldemar A. Carlo (著者), Manolo Mazariegos (著者), Nancy F. Krebs (著者), Sarah Saleem (著者), Robert L. Goldenberg (著者), Archana Patel (著者), Patricia L. Hibberd (著者), Fabian Esamai (著者), Edward A. Liechty (著者), Rashidul Haque (著者), Bill Petri (著者), Marion Koso-Thomas (著者), Elizabeth M. McClure (著者), Carl L. Bose (著者), Melissa Bauserman (著者)
• フォーマット: 図書
• 出版事項: BMC, 2023-08-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

Abstract Background Low birth weight (LBW, < 2500 g) infants are at significant risk for death and disability. Improving outcomes for LBW infants requires access to advanced neonatal care, which is a limited resource in low- and middle-income countries (LMICs). Predictive modeling might be useful...