Results 31 to 40 of about 97,378 (142)
COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations [PDF]
arXiv, 2023 Chronic Obstructive Pulmonary Disorder (COPD) is a prevalent respiratory disease that significantly impacts the quality of life of affected individuals. This paper presents COPDFlowNet, a novel deep-learning framework that leverages a custom Generative Adversarial Network (GAN) to generate synthetic Computational Fluid Dynamics (CFD) velocity flow ...
arxiv
Respiratory Research, 2005 Background Inflammation in the airways and lung parenchyma underlies fixed airway obstruction in chronic obstructive pulmonary disease. The exact role of smoking as promoting factor of inflammation in chronic obstructive pulmonary disease is not clear ...
Willemse Brigitte WM +4 more
doaj +1 more source
An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data [PDF]
arXiv, 2021 The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into healthcare. While this promises improved detection and monitoring of breathing disorders, AI techniques are almost invariably "data hungry" which highlights ...
arxiv
Scientific Reports, 2023 Chronic obstructive pulmonary disease is a condition which can be prevented and treated and is characterized by difficulty of breathing that is not entirely curable.
Yoseph Kassa +2 more
doaj +1 more source
Inferring COPD Severity from Tidal Breathing [PDF]
arXiv, 2020 Objective: To develop an algorithm that can infer the severity level of a COPD patient's airflow limitation from tidal breathing data that is collected by a wearable device. Methods: Data was collected from 25 single visit adult volunteers with a confirmed or suspected diagnosis of chronic obstructive pulmonary disease (COPD).
arxiv
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension [PDF]
Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis,
109500O, 2019 Chronic Obstructive Pulmonary Disease (COPD) is a leading cause of morbidity and mortality worldwide. Identifying those at highest risk of deterioration would allow more effective distribution of preventative and surveillance resources. Secondary pulmonary hypertension is a manifestation of advanced COPD, which can be reliably diagnosed by the main ...
arxiv +1 more source
Background of the development of the concept of physical rehabilitation of patients with COPD
Journal of Education, Health and Sport, 2016 The article presents data on the prevalence of chronic obstructive pulmonary disease and economic losses to which it leads. The emphasis is placed on the relevance of developing adequate rehabilitation measures for patients. A special place is devoted to
N. I. Maistruk
doaj +3 more sources
SAGE Open Medicine, 2019 Objectives: Over 380 million people in the world live with chronic obstructive pulmonary disease, and it is the third leading cause of death in the United States. Despite updated guidelines, there may be significant variations in diagnosis and management
Salim Surani +8 more
doaj +1 more source
Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series [PDF]
npj Syst. Biol. Appl. 11, 18 (2025)Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent features in spirometry (Volume-Flow time series) to detect COPD, but they are not adept at predicting future COPD risk based on subtle data patterns.
arxiv +1 more source
Accounting for data heterogeneity in integrative analysis and prediction methods: An application to Chronic Obstructive Pulmonary Disease [PDF]
arXiv, 2021 Epidemiologic and genetic studies in chronic obstructive pulmonary disease (COPD) and many complex diseases suggest subgroup disparities (e.g., by sex). We consider this problem from the standpoint of integrative analysis where we combine information from different views (e.g., genomics, proteomics, clinical data). Existing integrative analysis methods
arxiv