Data analytics in a clinical setting: Applications to understanding breathing patterns and their relevance to neonatal disease.
In this review, we focus on the use of contemporary linear and non-linear data analytics as well as machine learning/artificial intelligence algorithms to inform treatment of pediatric patients. We specifically focus on methods used to quantify changes in breathing that can lead to increased risk fo...
| Publicado en: | Seminars in Fetal & Neonatal Medicine Vol. 27; no. 5 |
|---|---|
| Autores principales: | , , , |
| Formato: | review Journal Article |
| Publicado: |
Elsevier B.V.
Oct2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |