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

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 in LMIC...

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Detalles Bibliográficos
Autores principales: Patterson, Jackie K., Thorsten, Vanessa R., Eggleston, Barry, Nolen, Tracy, Lokangaka, Adrien, Tshefu, Antoinette, Goudar, Shivaprasad S., Derman, Richard J., Chomba, Elwyn, Carlo, Waldemar A., Mazariegos, Manolo, Krebs, Nancy F., Saleem, Sarah, Goldenberg, Robert L., Patel, Archana, Hibberd, Patricia L., Esamai, Fabian, Liechty, Edward A., Haque, Rashidul, Petri, Bill, Koso-Thomas, Marion, McClure, Elizabeth M., Bose, Carl L., Bauserman, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464177/
https://www.ncbi.nlm.nih.gov/pubmed/37608358
http://dx.doi.org/10.1186/s12884-023-05866-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10464177/
https://www.ncbi.nlm.nih.gov/pubmed/37608358
http://dx.doi.org/10.1186/s12884-023-05866-1

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