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

Brief summary (registry, in English)

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.

What you commit to

• Study type: Observational
• Participants enrolled: 68
• From 28 Nov 2023 to the primary completion date, 30 Oct 2024
• 1 site in 1 country
• Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Who the study is looking for

Age in the registry: 18 years to - · Sex: All · Accepts healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

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