Machine Learning Models to Predict Electroencephalographic Seizures in Critically Ill Children

OBJECTIVE: Determine whether machine learning techniques would enhance our ability to incorporate key variables into a parsimonious model with optimized prediction performance for electroencephalographic seizure (ES) prediction in critically ill children. METHODS: We analyzed data from a prospective...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Seizure
Egile Nagusiak: Hu, Jian, Fung, France W., Jacobwitz, Marin, Parikh, Darshana S., Vala, Lisa, Donnelly, Maureen, Topjian, Alexis A., Abend, Nicholas S., Xiao, Rui
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2021
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8044039/
https://ncbi.nlm.nih.gov/pubmed/33714840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.seizure.2021.03.001
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