Cost Minimization Using an Artificial Neural Network Sleep Apnea Prediction Tool for Sleep Studies-Reference-Cited by-同舟云学术

Cost Minimization Using an Artificial Neural Network Sleep Apnea Prediction Tool for Sleep Studies

Published:2014-09 Issue:7 Volume:11 Page:1064-1074
ISSN:2329-6933
Container-title:Annals of the American Thoracic Society
language:en
Short-container-title:Annals ATS

Author:

Teferra Rahel A.,Grant Brydon J. B.,Mindel Jesse W.,Siddiqi Tauseef A.,Iftikhar Imran H.,Ajaz Fatima,Aliling Jose P.,Khan Meena S.,Hoffmann Stephen P.,Magalang Ulysses J.

Publisher

American Thoracic Society

Subject

Pulmonary and Respiratory Medicine

Reference43 articles.

1. A Quantitative Assessment of Sleep Laboratory Activity in the United States

2. What Can Sleep Medicine Do?

3. A Warning Shot Across the Bow: The Changing Face of Sleep Medicine

4. Initial use of portable monitoring versus polysomnography to confirm obstructive sleep apnea in symptomatic patients: An economic decision model

5. Clinical Guidelines for the Use of Unattended Portable Monitors in the Diagnosis of Obstructive Sleep Apnea in Adult Patients

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