Machine learning can predict patterns of pulmonary function - Milan 2023

Interpretative strategies for lung function testing

Chair(s): Monika Franczuk, Matthew Rutter

Session type: Oral presentation

Machine learning can predict patterns of pulmonary function

Michael Tisi

EVENTS HOME

Previous presentation

Next presentation

Session content

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

Replay

Poster

Abstract

Slides

New race neutral GLI equation impacts ethnic groups differently!

Ahmed Elmahy

Replay

Poster

Abstract

Slides

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

Laura Graciela Gochicoa Rangel

Replay

Poster

Abstract

Slides

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

Thomas Ledger

Replay

Poster

Abstract

Slides

Machine learning can predict patterns of pulmonary function

Michael Tisi

Replay

Poster

Abstract

Slides

Minimal Clinically Important Difference for Impulse Oscillometry in Adults with Asthma

Mustafa Abdo

Replay

Poster

Abstract

Slides

How sensitive are reversibility criteria in paediatric and adult asthma?

Samuel Wallbanks

Replay

Poster

Abstract

Slides

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

Balsam Barkous

Replay

Poster

Abstract

Slides

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

Replay

Poster

Abstract

Slides

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

Magnus Ekstrom

Replay

Poster

Abstract

Slides

Discussion and Q&A

Replay

CDN Connection Issue

The ERS International Congress 2023, Milan

#{title}