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

Álex Ferré | Zendy; María A. Poca | Zendy; M.D. de la Calzada | Zendy; Dulce Moncho | Zendy; Aintzane Urbizu | Zendy; Odile Romero | Zendy; Gabriel Sampol | Zendy; Juan Sahuquillo | Zendy

Open Access

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

Author(s) -

Álex Ferré,

María A. Poca,

M.D. de la Calzada,

Dulce Moncho,

Aintzane Urbizu,

Odile Romero,

Gabriel Sampol,

Juan Sahuquillo

Publication year - 2019

Publication title -

journal of clinical sleep medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.529

H-Index - 92

eISSN - 1550-9397

pISSN - 1550-9389

DOI - 10.5664/jcsm.7578

Subject(s) - medicine , chiari malformation , sleep disordered breathing , breathing , polysomnography , inference , sleep (system call) , electroencephalography , artificial intelligence , anesthesia , psychiatry , magnetic resonance imaging , obstructive sleep apnea , syringomyelia , computer science , radiology , operating system

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.

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