pone.0259724.s001.docx (18.41 kB)
Data collection.
journal contribution
posted on 2021-11-09, 18:26 authored by Ilaria Amodeo, Giorgio De Nunzio, Genny Raffaeli, Irene Borzani, Alice Griggio, Luana Conte, Francesco Macchini, Valentina Condò, Nicola Persico, Isabella Fabietti, Stefano Ghirardello, Maria Pierro, Benedetta Tafuri, Giuseppe Como, Donato Cascio, Mariarosa Colnaghi, Fabio Mosca, Giacomo CavallaroMain prenatal, postnatal, and radiological parameters collected for ML-based analysis.
(DOCX)
History
Usage metrics
Categories
Keywords
predict pulmonary hypertensionpostnatal pulmonary hypertensionmagnetic resonance imagingincrease sample sizefetal surgery unitextracorporeal membrane oxygenationearly targeted interventionscongenital diaphragmatic herniaclannish ): protocolfeto ), needanalyzed using mlwhose prenatal checksth retrospective data collectionmilan area 2local ethics committeeeligible patients borndl 3d udevelop forecasting modelsprovide neonatal phecmo ), survivaldeep learning approachml ),deep learningpredictive modelsph ).net approachforecasting algorithmsprenatal estimateprenatal epochmri ),xlink ">software systemsingleton pregnanciesresource allocationradiological variablesproject implementationpersonalized managementoverall improvementnative sequenceskey contributionimportant toolfeature selectionfavorable responsefamily savingsdisease predictiondimensionality reductiondifferent sourcesdata augmentationcare qualityavoid overfitting
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC