Fetal Cardiovascular Decompensation During Labor Predicted From the Individual Heart Rate Tracing: A Machine Learning Approach in Near-Term Fetal Sheep Model

Frontiers in Pediatrics

Nathan Gold¹  Xiaogang Wang²  Martin G. Frasch³  Christophe L. Herry⁴ 

[1] Department of Mathematics and Statistics, York University, Toronto, ON, Canada;Centre for Quantitative Analysis and Modelling, Fields Institute for Research in Mathematical Science, Toronto, ON, Canada;Department of Mathematics and Statistics, York University, Toronto, ON, Canada;Institute of Big Data, Qing Hua University, Beijing, China;Department of Obstetrics and Gynecology and Center on Human Development and Disability, University of Washington, Seattle, WA, United States;Dynamical Analysis Laboratory, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada;

关键词: HRV;    hypotension;    brain Injury;    Bezold Jarisch reflex;    machine learning;    time series;    anomaly detection;    changepoint detection;   

DOI  :  10.3389/fped.2021.593889

来源: Frontiers

【 授权许可】

CC BY