[HTML][HTML] Artificial intelligence and machine learning in chronic airway diseases: focus on asthma and chronic obstructive pulmonary disease
Y Feng, Y Wang, C Zeng, H Mao - International journal of medical …, 2021 - ncbi.nlm.nih.gov
Chronic airway diseases are characterized by airway inflammation, obstruction, and
remodeling and show high prevalence, especially in developing countries. Among them …
remodeling and show high prevalence, especially in developing countries. Among them …
Multimorbidity in patients with chronic obstructive pulmonary disease
Life expectancy has increased, partly due to significant improvements in the treatment of
communicable diseases. This has resulted in an epidemiologic transition from early mortality …
communicable diseases. This has resulted in an epidemiologic transition from early mortality …
Symptom subtypes of obstructive sleep apnea predict incidence of cardiovascular outcomes
Rationale: Symptom subtypes have been described in clinical and population samples of
patients with obstructive sleep apnea (OSA). It is unclear whether these subtypes have …
patients with obstructive sleep apnea (OSA). It is unclear whether these subtypes have …
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease
S Zhao, P Wang, AA Heidari, H Chen… - Computers in Biology …, 2021 - Elsevier
Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …
[HTML][HTML] Identifying clinically important COPD sub-types using data-driven approaches in primary care population based electronic health records
Background COPD is a highly heterogeneous disease composed of different phenotypes
with different aetiological and prognostic profiles and current classification systems do not …
with different aetiological and prognostic profiles and current classification systems do not …
Machine learning characterization of COPD subtypes: insights from the COPDGene study
PJ Castaldi, A Boueiz, J Yun, RSJ Estepar, JC Ross… - Chest, 2020 - Elsevier
COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there
is not yet consensus on how many COPD subtypes there are and how they should be …
is not yet consensus on how many COPD subtypes there are and how they should be …
Fractional dynamics foster deep learning of COPD stage prediction
Chronic obstructive pulmonary disease (COPD) is one of the leading causes of death
worldwide. Current COPD diagnosis (ie, spirometry) could be unreliable because the test …
worldwide. Current COPD diagnosis (ie, spirometry) could be unreliable because the test …
[HTML][HTML] COPD profiles and treatable traits using minimal resources: identification, decision tree and stability over time
Background and objective Profiles of people with chronic obstructive pulmonary disease
(COPD) often do not describe treatable traits, lack validation and/or their stability over time is …
(COPD) often do not describe treatable traits, lack validation and/or their stability over time is …
[HTML][HTML] Antimicrobial therapies for prevention of recurrent acute exacerbations of COPD (AECOPD): beyond the guidelines
M Brennan, MJ McDonnell, MJ Harrison… - Respiratory …, 2022 - Springer
Background Unfortunately, many COPD patients continue to exacerbate despite good
adherence to GOLD Class D recommended therapy. Acute exacerbations lead to an …
adherence to GOLD Class D recommended therapy. Acute exacerbations lead to an …
[HTML][HTML] COPD phenotypes and machine learning cluster analysis: a systematic review and future research agenda
Abstract Chronic Obstructive Pulmonary Disease (COPD) is a highly heterogeneous
condition projected to become the third leading cause of death worldwide by 2030. To better …
condition projected to become the third leading cause of death worldwide by 2030. To better …