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Vowel Segmentation for Classification of Chronic Obstructive Pulmonary Disease Using Machine Learning

StatusActive, Not Recruiting
PhaseNot specified
Started
View on ClinicalTrials.gov ↗

Record History

  1. Primary completion date changed from estimate of May 30, 2024 to Oct 30, 2024
    • Study completion date: Aug 30, 2024 to Nov 30, 2024
    v2
  2. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
This work aims to evaluate whether the segmentation of vowel recordings collected from patients diagnosed with COPD and healthy control groups can increase the classification precision of machine learning techniques.
Trial Details
NCT Number NCT06160674
Lead Sponsor Blekinge Institute of Technology
Collaborators: Excellence Center at Linköping - Lund in Information Technology (ELLIIT)
Conditions
(from sponsor)		 Chronic Obstructive Pulmonary Disease
Related terms Pulmonary Disease, Chronic Obstructive
Enrollment 68 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov