A Conditional Inference Tree Model for Predicting Sleep-Related Breathing Disorders in Patients With Chiari Malformation Type 1: Description and External Validation

STUDY OBJECTIVES: The aim of this study is to generate and validate supervised machine learning algorithms to detect patients with Chiari malformation (CM) 1 or 1.5 at high risk of the development of sleep-related breathing disorders (SRBD) using clinical and neuroradiological parameters. METHODS: W...

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Detalhes bibliográficos
Publicado no:J Clin Sleep Med
Main Authors: Ferré, Álex, Poca, María A., de la Calzada, María Dolores, Moncho, Dulce, Urbizu, Aintzane, Romero, Odile, Sampol, Gabriel, Sahuquillo, Juan
Formato: Artigo
Idioma:Inglês
Publicado em: American Academy of Sleep Medicine 2019
Assuntos:
Scientific Investigations
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6329533/
https://ncbi.nlm.nih.gov/pubmed/30621833
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5664/jcsm.7578
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