A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study

INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postnatal pulmonary hypertension (PH). We propose applying Machine Learning (ML), and Deep Learning (DL) approaches to fetuses and newborns with CDH to dev...

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Detalles Bibliográficos
Autores principales: Amodeo, Ilaria, De Nunzio, Giorgio, Raffaeli, Genny, Borzani, Irene, Griggio, Alice, Conte, Luana, Macchini, Francesco, Condò, Valentina, Persico, Nicola, Fabietti, Isabella, Ghirardello, Stefano, Pierro, Maria, Tafuri, Benedetta, Como, Giuseppe, Cascio, Donato, Colnaghi, Mariarosa, Mosca, Fabio, Cavallaro, Giacomo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Study Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577746/
https://www.ncbi.nlm.nih.gov/pubmed/34752491
http://dx.doi.org/10.1371/journal.pone.0259724

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577746/
https://www.ncbi.nlm.nih.gov/pubmed/34752491
http://dx.doi.org/10.1371/journal.pone.0259724

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