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Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea

Sleep Apnea Clinical Trial

Official title:
Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea

Clinical Trial Summary

The investigators have developed a simple, accurate, and a point-of-care, computer-based clinical decision support system (CDSS) not only to detect the presence of sleep apnea but also to predict its severity. The CDSS is based on deploying an artificial neural network (ANN) derived from anthropomorphic and clinical characteristics.

The investigators hypothesize that patients with severe OSA defined as AHIā‰„30 can be diagnosed with the use of ANN without undergoing a sleep study, and that empiric management with auto-CPAP has similar outcomes to those who undergo a formal sleep study.

Clinical Trial Description

n/a

Study Design

Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Diagnostic

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT01286636
Study type Interventional
Source State University of New York at Buffalo
Contact
Status Withdrawn
Phase Phase 3
Start date January 2011
Completion date June 2015
View Details
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