A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictor

Estimation of mortality risk of very preterm neonates is carried out in clinical and research settings. We aimed at elaborating a prediction tool using machine learning methods. We developed models on a cohort of 23747 neonates <30 weeks gestational age, or <1501 g birth weight, enrolled in th...

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Detalles Bibliográficos
Autores principales: Podda, Marco, Bacciu, Davide, Micheli, Alessio, Bellù, Roberto, Placidi, Giulia, Gagliardi, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137213/
https://www.ncbi.nlm.nih.gov/pubmed/30213963
http://dx.doi.org/10.1038/s41598-018-31920-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137213/
https://www.ncbi.nlm.nih.gov/pubmed/30213963
http://dx.doi.org/10.1038/s41598-018-31920-6

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