Respiratory distress syndrome prediction at birth by optical skin maturity assessment and machine learning models for limited-resource settings: a development and validation study

• Main Authors: Zilma Silveira Nogueira Reis (Author), Gisele Lobo Pappa (Author), Paulo de Jesus H. Nader (Author), Marynea Silva do Vale (Author), Gabriela Silveira Neves (Author), Gabriela Luiza Nogueira Vitral (Author), Nilza Mussagy (Author), Ivana Mara Norberto Dias (Author), Roberta Maia de Castro Romanelli (Author)
• Format: Book
• Published: Frontiers Media S.A., 2023-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundA handheld optical device was developed to evaluate a newborn's skin maturity by assessing the photobiological properties of the tissue and processing it with other variables to predict early neonatal prognosis related to prematurity. This study assessed the device's ability to p...