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Skip search results from other journals and go to results- 25 Journal of Medical Internet Research
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Chronic obstructive pulmonary disease (COPD) is a common disabling lung condition characterized by chronic respiratory symptoms that cause persistent, mostly progressive airflow limitations [1]. It is one of the major issues of public health, and its prevalence, mortality, and morbidity are increasing [1-3]. COPD was listed as the third leading cause of death worldwide in 2019 [4], and it is estimated that by 2040, deaths from COPD will rise to 4.4 million per year [5].
J Med Internet Res 2025;27:e57649
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Chronic obstructive pulmonary disease (COPD) is a heterogeneous lung condition characterized by chronic respiratory symptoms (dyspnea, cough, sputum production, and/or exacerbations) due to abnormalities of the airways (bronchitis and bronchiolitis) and/or alveoli (emphysema) that cause persistent, often progressive, airflow obstruction [1,2]. In the Netherlands, 545,900 people experienced COPD in 2022.
JMIR Form Res 2025;9:e59533
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Chronic obstructive pulmonary disease (COPD) is a public health epidemic. The current state of the art displays a high prevalence and high burden [1]. COPD is the fourth leading cause of death worldwide, accounting for 3.5 million deaths in 2021, approximately 5% of all global deaths [2].
JMIR Public Health Surveill 2025;11:e66179
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Chronic obstructive pulmonary disease (COPD) is a major subset of chronic pulmonary diseases, with nearly 36% of patients developing comorbidities, such as hypertension and cardiovascular diseases [7]. Globally, 1 person succumbs to COPD every 10 seconds; in Taiwan, over 5000 deaths are attributed to COPD annually [8]. Severe cases of COPD may lead to systemic manifestations, emphasizing the urgency of interventions [9,10].
JMIR Hum Factors 2024;11:e60049
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Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide [4]. Although COPD is a disease characterized by respiratory symptoms and exercise intolerance related to abnormalities of the airways, the alveoli, or both, COPD seems also to alter the autonomic nervous system [5]. The autonomic nervous system adjusts heart rate, blood pressure, and RR in response to internal and external stimuli [6].
JMIR Mhealth Uhealth 2024;12:e56027
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The project intends to assist older adults with chronic obstructive pulmonary disease (COPD) to maintain their independence in the comfort of their own homes. The project emphasizes the involvement of older adults by identifying their needs and preferences and by involving them in co-designing and testing a new technological solution [2].
JMIR Hum Factors 2024;11:e63222
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COPD (chronic obstructive pulmonary disease) and bronchiectasis are common causes of morbidity and mortality across the world [1,2]. Much of this morbidity and mortality is associated with exacerbations—acute deteriorations of the disease [3,4]. Exacerbations often require additional treatment, up to and including hospitalization, and are a risk factor for progressive disease [5,6].
Interact J Med Res 2024;13:e44397
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It is estimated that one-third of patients with COPD who have been hospitalized due to an acute exacerbation are readmitted within 1 year [8,9]. Consequently, preventing exacerbations is an important part of COPD care. Essential to preventing exacerbations and improving health outcomes is optimizing self-management of patients with COPD [10-12].
JMIR Form Res 2024;8:e57108
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Chronic obstructive pulmonary disease (COPD) is a disease defined by airway obstruction, airway inflammation, and in some cases parenchymal destruction (emphysema). COPD accounts for 55% of all chronic respiratory diseases [1] and is characterized by intermittent periods of significantly worsening symptoms known as exacerbations [2]. After a severe exacerbation, the in-hospital mortality is 6.7% [3].
J Med Internet Res 2024;26:e52143
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In another study, to improve mortality prediction from COPD, a random forest was used to identify the most important imaging features [18]. Gradient boosted trees (GBTs) have been used to predict lung function values from computed tomography images obtained from patients with COPD and those without COPD [19]. Deep learning has been effective in analyzing images diagnostic of COPD [20].
JMIR AI 2024;3:e58455
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