MedTrace Logo

CPAP Titration Using an Artificial Neural Network: A Randomized Controlled Study

NCT00497640 · Status: WITHDRAWN · Phase: NA · Type: INTERVENTIONAL

Last updated 2020-11-25

No results posted yet for this study

Summary

The purpose of the study is to determine the validity of the prediction model in reducing the rate of CPAP titration failure and in achieving a shorter time to optimal pressure

Conditions

Interventions

PROCEDURE

Artificial Neural Network

Use of a predicted optimal CPAP

Sponsors & Collaborators

  • State University of New York at Buffalo

    lead OTHER

Principal Investigators

  • Ali A El Solh, MD, MPH · Sate University of New York at Buffalo

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2007-05-31
Primary Completion
2008-07-31
Completion
2009-06-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT00497640 on ClinicalTrials.gov