Curve-Modelling and Machine Learning for a Better COPD Diagnosis.

Journal: International journal of chronic obstructive pulmonary disease

PMID: 38895045

Abstract

BACKGROUND: Development of new tools in artificial intelligence has an outstanding performance in the recognition of multidimensional patterns, which is why they have proven to be useful in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD).

Authors

Adriana Maldonado-Franco

School of Engineering, Universidad de La Sabana, Chía, Colombia.
Luis F Giraldo-Cadavid

School of Medicine, Universidad de La Sabana, Chía, Colombia.
Eduardo Tuta-Quintero

School of Medicine, Universidad de La Sabana, Chía, Colombia.
Mauricio Cagy

Biomedical Engineering Program, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil.
Alirio R Bastidas Goyes

School of Medicine, Universidad de La Sabana, Chía, Colombia.
Daniel A Botero-Rosas

School of Medicine, Universidad de La Sabana, Chía, Colombia.

Keywords

Aged Bronchodilator Agents Diagnosis, Computer-Assisted Female Humans Lung Machine Learning Male Middle Aged Neural Networks, Computer Peak Expiratory Flow Rate Predictive Value of Tests Pulmonary Disease, Chronic Obstructive Reproducibility of Results Spirometry Vital Capacity

External Resources

View on PubMed Access via DOI PubMed (38895045)

Curve-Modelling and Machine Learning for a Better COPD Diagnosis.

Abstract

Authors

Keywords

External Resources

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