TY  - JOUR
AU  - Solís García, Gonzalo
AU  - Maderuelo Rodríguez, Elena
AU  - Pérez Pérez, Teresa
AU  - Torres Soblechero, Laura
AU  - Gutiérrez Vélez, Ana
AU  - Ramos Navarro, Cristina
AU  - López Martínez, Raúl
AU  - Sánchez Luna, Manuel Ramón
PY  - 2020
DO  - 10.1055/s-0040-1718877
SN  - 0735-1631
SN  - 1098-8785
UR  - https://hdl.handle.net/20.500.14352/99315
T2  - American Journal of Perinatology
AB  - Objective: Analysis of longitudinal data can provide neonatologists with tools that can help predict clinical deterioration and improve outcomes. The aim of this study is to analyze continuous monitoring data in newborns, using vital signs to develop...
LA  - eng
M2  - 677
PB  - Thieme Gruppe
KW  - Respiratory distress
KW  - Longitudinal analysis
KW  - Joint models
KW  - Big data
TI  - Longitudinal Analysis of Continuous Pulse Oximetry as Prognostic Factor in Neonatal Respiratory Distress
TY  - journal article
VL  - 39
ER  -