Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge: Leveraging health administrative data and machine learning

TY - JOUR

T1 - Predicting neonatal respiratory distress syndrome and hypoglycaemia prior to discharge

T2 - Leveraging health administrative data and machine learning

AU - Betts, Kim S.

AU - Kisely, Steve

AU - Alati, Rosa

N1 - Publisher Copyright: © 2020

PY - 2021/2

Y1 - 2021/2

KW - Administrative data linkage

KW - Machine learning

KW - Neonatal outcomes

KW - Predictive models

UR - http://www.scopus.com/inward/record.url?scp=85098984481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85098984481&partnerID=8YFLogxK

U2 - 10.1016/j.jbi.2020.103651

DO - 10.1016/j.jbi.2020.103651

M3 - Article

C2 - 33285308

AN - SCOPUS:85098984481

SN - 1532-0464

VL - 114

JO - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

M1 - 103651

ER -