Carregant...
Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms
STUDY OBJECTIVE: Obstructive sleep apnea (OSA) is a treatable contributor to morbidity and mortality. However, most patients with OSA remain undiagnosed. We used a new machine learning method known as SLIM (Supersparse Linear Integer Models) to test the hypothesis that a diagnostic screening tool ba...
Guardat en:
| Publicat a: | J Clin Sleep Med |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Academy of Sleep Medicine
2016
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4751423/ https://ncbi.nlm.nih.gov/pubmed/26350602 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5664/jcsm.5476 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|