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

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 develop forecasti...

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Veröffentlicht in:PloS one 2021-11, Vol.16 (11), p.e0259724
Hauptverfasser: 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
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Sprache:eng
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