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Cardiorespiratory Monitoring Data to Predict Respiratory Outcomes in Extremely Preterm Infants
Journal article   Peer reviewed

Cardiorespiratory Monitoring Data to Predict Respiratory Outcomes in Extremely Preterm Infants

Namasivayam Ambalavanan, Debra E Weese-Mayer, Anna Maria Hibbs, Nelson Claure, John L Carroll, J Randall Moorman, Eduardo Bancalari, Aaron Hamvas, Richard J Martin, Juliann M Di Fiore, …
American journal of respiratory and critical care medicine
2023-05-23
PMID: 37219236

Abstract

apnea intermittent hypoxemia periodic breathing bronchopulmonary dysplasia predictive value of tests

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.36 Ophthalmology
1.36.2059 Retinopathy Of Prematurity
Web Of Science research areas
Critical Care Medicine
Respiratory System
ESI research areas
Clinical Medicine

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

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