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Diagnostic value of impulse oscillation system in combination with artificial intelligence as alternative method to spirometry.

Diagnostic value of impulse oscillation system in combination with artificial intelligence as alternative method to spirometry. - Research of impulse oscillation method with machine learning for prediction of pulmonary function.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000041332
Enrollment
5000
Registered
2020-08-08
Start date
2020-05-28
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

respiratory obstractive/restrictive disorder.

Interventions

None listed

Sponsors

Matsusaka Municipal Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Recieved both spirometry and Mostgraph in Matsusaka Municipal Hospital before Dec 31 2019. 2. All parameter of both spirometry and Mostgraph was successfully measured. 3. Data of both spirometry and Mostgraph is stored in electronic medical record, and they are available.

Exclusion criteria

Exclusion criteria: 1. With missing data of age or sex. 2. Identified as ineligible case by the investigator.

Design outcomes

Primary

MeasureTime frame
ROC analysis of predictive value by oscillometry with machine learning for measured value by spirometry.

Secondary

MeasureTime frame
1. Correlation coefficient between measured value by spirometry and predictive value by oscillometry (Mostgraph). 2. ROC analysis in subgroup of patients with age of less than 70 who has experience of spirometry testing.

Countries

Japan

Contacts

Public ContactKentaro Ito

Matsusaka Municipal Hospital Department of Respiratory Medicine, Respiratory Center

kentarou_i_0214@yahoo.co.jp0598-23-1515

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026