Machine learning can predict patterns of pulmonary function

Interpretative strategies for lung function testing

Chair(s): Monika Franczuk, Matthew Rutter

Session type: Oral presentation

Michael Tisi

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Late Breaking Abstract - Lung volumes differentiate emphysema- vs. airway disease-dominant pathologies with distinct clinical features in tobacco-exposed persons with preserved spirometry in SPIROMICS

Mehrdad Arjomandi

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Poster

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New race neutral GLI equation impacts ethnic groups differently!

Ahmed Elmahy

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Effect of altitude on spirometry values in Latin American: A GLI Network ERS Clinical Research Collaboration

Laura Graciela Gochicoa Rangel

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Effect of changes in ERS-ATS 2021 bronchodilator significance reclassification on a large Australian community cohort

Thomas Ledger

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Machine learning can predict patterns of pulmonary function

Michael Tisi

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Minimal Clinically Important Difference for Impulse Oscillometry in Adults with Asthma

Mustafa Abdo

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How sensitive are reversibility criteria in paediatric and adult asthma?

Samuel Wallbanks

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Defining and grading an obstructive ventilatory disease: ATS/ERS interpretive strategies of 2005 vs 2021

Balsam Barkous

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Normative lung clearance index (LCI) values using a commercial open circuit washout device in children from White British and Indian Subcontinent ethnic groups

Christopher Hine

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Normative reference equations for breathlessness intensity during CPET in people aged ?40 years: the CanCOLD study

Magnus Ekstrom

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Discussion and Q&A

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The ERS International Congress 2023, Milan

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