Achieving accurate estimates of fetal gestational age and personalised predictions of fetal growth based on data from an international prospective cohort study: a population-based machine learning study

BACKGROUND: Preterm birth is a major global health challenge, the leading cause of death in children under 5 years of age, and a key measure of a population's general health and nutritional status. Current clinical methods of estimating fetal gestational age are often inaccurate. For example, b...

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Detalles Bibliográficos
Autores principales: Fung, Russell, Villar, Jose, Dashti, Ali, Ismail, Leila Cheikh, Staines-Urias, Eleonora, Ohuma, Eric O, Salomon, Laurent J, Victora, Cesar G, Barros, Fernando C, Lambert, Ann, Carvalho, Maria, Jaffer, Yasmin A, Noble, J Alison, Gravett, Michael G, Purwar, Manorama, Pang, Ruyan, Bertino, Enrico, Munim, Shama, Min, Aung Myat, McGready, Rose, Norris, Shane A, Bhutta, Zulfiqar A, Kennedy, Stephen H, Papageorghiou, Aris T, Ourmazd, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323599/
https://www.ncbi.nlm.nih.gov/pubmed/32617525
http://dx.doi.org/10.1016/S2589-7500(20)30131-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7323599/
https://www.ncbi.nlm.nih.gov/pubmed/32617525
http://dx.doi.org/10.1016/S2589-7500(20)30131-X

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