@article{0e7240f310ec4a38840115e9ed5b560c,
title = "Developing a machine learning-based tool to extend the usability of the NICHD BPD Outcome Estimator to the Asian population",
keywords = "Bronchopulmonary Dysplasia/epidemiology, Infant, Premature, Diseases, United States, Humans, Infant, Infant, Extremely Premature, National Institute of Child Health and Human Development (U.S.), Machine Learning, Infant, Newborn",
author = "Monalisa Patel and Japmeet Sandhu and Chou, \{Fu Sheng\}",
note = "Publisher Copyright: {\textcopyright} 2022 Patel et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",
year = "2022",
month = sep,
doi = "10.1371/journal.pone.0272709",
language = "English",
volume = "17",
journal = "PLoS ONE",
issn = "1932-6203",
number = "9",
}