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Artificial Intelligence Applied to Forced Spirometry in Primary Care

  • Published:2024-10 Issue: Volume:6 Page:100313
  • ISSN:2659-6636
  • Container-title:Open Respiratory Archives
  • language:en
  • Short-container-title:Open Respiratory Archives

Author:

Moreno Mendez Rosaly,Marín Antonio,Ferrando José Ramon,Rissi Castro Giuliana,Cepeda Madrigal Sonia,Agostini Gabriela,Catalan Serra Pablo

Funder

Boehringer Ingelheim España SA

FISABIO

Publisher

Elsevier BV

Reference35 articles.

1. Chronic obstructive pulmonary disease mortality and prevalence: the associations with smoking and poverty – a BOLD analysis;Burney;Thorax,2014

2. The 7 cardinal sins of COPD in Spain;Luis Izquierdo;Arch Bronconeumol,2021

3. Short- and long-term effectiveness of a supervised training program in spirometry use for primary care professionals;Represas-Represas;Arch Bronconeumol,2013

4. Prevalence of COPD in Spain: impact of undiagnosed COPD on quality of life and daily life activities;Miravitlles;Thorax,2009

5. Artificial intelligence outperforms pulmonologists in the interpretation of pulmonary function tests;Topalovic;Eur Respir J,2019

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1. A study of momentum prediction based on Markov chains;Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024);2024-07-11

2. Simulation and prediction study based on Lotka-Volterra model and grey neural network;Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024);2024-07-05
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