Fast decliner phenotype of chronic obstructive pulmonary disease (COPD): applying machine learning for predicting lung function loss
Enregistré dans:
Auteurs principaux: | David B Price, Vasilis Nikolaou, Sebastiano Massaro, Wolfgang Garn, Masoud Fakhimi, Lampros Stergioulas |
---|---|
Format: | article |
Langue: | EN |
Publié: |
BMJ Publishing Group
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/66b9b03ed8a24e3f9037c0045aa13194 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Stage 1 development of a patient-reported experience measure (PREM) for chronic obstructive pulmonary disease (COPD)
par: Susan Walker, et autres
Publié: (2017) -
Blood Eosinophils and Pulmonary Rehabilitation in COPD
par: Jafar Aljazeeri, et autres
Publié: (2021) -
Self-management behaviour and support among primary care COPD patients: cross-sectional analysis of data from the Birmingham Chronic Obstructive Pulmonary Disease Cohort
par: Ainee Khan, et autres
Publié: (2017) -
Pulmonary function testing in COPD: looking beyond the curtain of FEV1
par: Sotirios Kakavas, et autres
Publié: (2021) -
Underestimation of respiratory symptoms by smokers: a thorn in chronic obstructive pulmonary disease diagnosis
par: Evdoxia Gogou, et autres
Publié: (2021)