NCT01286636

Artificial Neural Network Directed Therapy of Severe Obstructive Sleep Apnea

• Status: Withdrawn
• Phase: Phase 3
• Study type: Interventional
• Enrollment: 0 (actual)
• Sponsor: State University of New York at Buffalo · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

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 AHI≥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.

Conditions

• Sleep Apnea

Interventions

Type	Name	Description
OTHER	computer model	Diagnosis of Sleep apnea and treatment guidance will rely on a computer model prediction.
OTHER	Polysomnogram	Diagnosis of sleep apnea will rely on polysomnogram

Timeline

• Start date: 2011-01-01
• Primary completion: 2015-03-01
• Completion: 2015-06-01
• First posted: 2011-01-31
• Last updated: 2016-01-13

Locations

1 site across 1 country: United States