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

Gold, Nathan; Herry, Christophe L; Wang, Xiaogang; Frasch, Martin G

Gold, Nathan; Herry, Christophe L; Wang, Xiaogang; Frasch, Martin G.

Afiliación

Gold N; Department of Mathematics and Statistics, York University, Toronto, ON, Canada.
Herry CL; Centre for Quantitative Analysis and Modelling, Fields Institute for Research in Mathematical Science, Toronto, ON, Canada.
Wang X; Dynamical Analysis Laboratory, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Frasch MG; Department of Mathematics and Statistics, York University, Toronto, ON, Canada.

Front Pediatr ; 9: 593889, 2021.

Article en En | MEDLINE | ID: mdl-34026680

Palabras clave

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

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pediatr Año: 2021 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza

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