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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT05897944
Other study ID # BTH-6.1.1-0074-2023
Secondary ID
Status Active, not recruiting
Phase
First received
Last updated
Start date December 16, 2021
Est. completion date December 30, 2023

Study information

Verified date June 2023
Source Blekinge Institute of Technology
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This work aims to evaluate whether voice recordings collected from patients diagnosed with COPD and healthy control groups can be used to detect the disease using machine learning techniques.


Description:

Voice data and sociodemographic data on gender and age will be collected through the "VoiceDiganostic" application from the company Voice Diagnostic, which allows one to participate without location dependency. Participants with a diagnosis will be marked as the COPD group, and others will be marked as the healthy control group. Private information such as known comorbidities, personal security numbers, health parameters and communication information will be separately noticed in a participation table for each group. The collected data will be transformed into mathematical vocal measures called voice features. A dataset consisting of voice features in conjunction with demographics and health data will be constructed for further usage as an input to ML techniques. Descriptive statistical analysis will be held on attributes containing information on input data and gained outcomes from ML algorithms. The achieved results will be presented in the form of summary tables and graphs.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 72
Est. completion date December 30, 2023
Est. primary completion date May 16, 2023
Accepts healthy volunteers
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - being 18 years old and older. Exclusion Criteria: - being under 18 years old.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
COPD
A data set consisting of information from COPD and HC groups will be used to experiment with the classification performance of several Machine Learning techniques.

Locations

Country Name City State
Sweden Blekinge Institute of Technology Karlskrona Blekinge

Sponsors (2)

Lead Sponsor Collaborator
Blekinge Institute of Technology Excellence Center at Linköping - Lund in Information Technology (ELLIIT)

Country where clinical trial is conducted

Sweden, 

Outcome

Type Measure Description Time frame Safety issue
Primary Accuracy Binary detection performance of the ML algorithm Week 51
Primary Input data importance scale Features used as input data will be ranked from most important to less important one. Week 51
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