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Vowel Segmentation for Classification of Chronic Obstructive Pulmonary Disease Using Machine Learning
Sponsor: Blekinge Institute of Technology
Summary
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
68
Start Date
2023-11-28
Completion Date
2024-11-30
Last Updated
2024-11-25
Healthy Volunteers
Yes
Conditions
Interventions
COPD
A vowel segmentation data set consisting of information from COPD and HC groups will be used to experiment with the classification performance of several Machine Learning techniques on different segments of a vowel recording.
Locations (1)
Blekinge Institute of Technology
Karlskrona, Blekinge County, Sweden