AIMC Topic: Pulmonary Disease, Chronic Obstructive
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[Advances in chest imaging in early chronic obstructive pulmonary disease].
Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases
Dec 12, 2023
Chronic obstructive pulmonary disease(COPD)is a heterogeneous and complex disease, and is characterized by exertional dyspnea and chronic cough. For many years, lung function testing have been used to diagnose COPD, but the sensitivity of lung functi...
Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis.
The Lancet. Digital health
Dec 1, 2023
BACKGROUND: Machine learning and deep learning models have been increasingly used to predict long-term disease progression in patients with chronic obstructive pulmonary disease (COPD). We aimed to summarise the performance of such prognostic models ...
Research on Pectoral Muscle Segmentation Algorithm of CT Image Based on Deep Learning.
Studies in health technology and informatics
Nov 23, 2023
Chronic obstructive pulmonary disease (COPD) is a common respiratory disease, which seriously endangers human health and is also one of the important causes of death. The death rate of COPD in China is the highest in the world, and the problem of und...
Sputum Neutrophil Gelatinase-Associated Lipocalin as a Biomarker in Asthma-COPD Overlap.
The Journal of the Association of Physicians of India
Sep 1, 2023
BACKGROUND: Asthma COPD overlap (ACO) is a consensus-based phenotype having characteristics of both COPD and asthma. Distinguishing ACO from other diseases is even more important as it is related to low health-related quality of life, augmented exace...
Deep-Masker: A Deep Learning-based Tool to Assess Chord Length from Murine Lung Images.
American journal of respiratory cell and molecular biology
Aug 1, 2023
Chord length is an indirect measure of alveolar size and a critical endpoint in animal models of chronic obstructive pulmonary disease (COPD). In assessing chord length, the lumens of nonalveolar structures are eliminated from measurement by various ...
Exacerbations of COPD.
Respiratory care
Jul 1, 2023
COPD exacerbations are associated with significant morbidity, mortality, and increased health care expenditures. The recently published Global Initiative for Chronic Obstructive Lung Disease (GOLD) recommendations have further refined the definition ...
Combining NLP and Machine Learning for Differential Diagnosis of COPD Exacerbation Using Emergency Room Data.
Studies in health technology and informatics
Jun 29, 2023
Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms with various forms of cardiovascular disease, which makes its early identification challenging. Timely identification of the underlying condition that ca...
Deep learning model improves COPD risk prediction and gene discovery.
Nature genetics
May 1, 2023
Developments in respiratory self-management interventions over the last two decades.
Chronic respiratory disease
Jan 1, 2023
This paper describes developments in the fields of asthma and COPD self-management interventions (SMIs) over the last two decades and discusses future directions. Evidence around SMIs has exponentially grown. Efficacy on group level is convincing and...
[Comparison of the predictive performance of Logistic regression, BP neural network and support vector machine model for the risk of acute exacerbation of readmission in elderly patients with chronic obstructive pulmonary disease within 30 days].
Zhonghua wei zhong bing ji jiu yi xue
Aug 1, 2022
OBJECTIVE: To compare the effectiveness of Logistic regression, BP neural network and support vector machine models in the prediction of 30-day risk of readmission in elderly patients with an exacerbation of chronic obstructive pulmonary disease (COP...
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