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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Clin Sleep Med |
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| Κύριοι συγγραφείς: | , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
American Academy of Sleep Medicine
2019
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| Θέματα: | |
| Διαθέσιμο Online: | 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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