Big data and COPD

OBJECTIVE: Early detection, diagnosis, treatment and management of chronic obstructive pulmonary disease can lower morbidity and perhaps mortality. This study aimed to evaluate the effect of the application of standardized management against the background of the rapid development of the big data center of modern internet of things technology. METHODS: Participants ≥40 years of age with chronic obstructive pulmonary disease presenting at Xiamen Medical College Affiliated Haicang Hospital from October 2019 to October 2020 were selected as the observation patients based on the Internet of Things big data center for chronic obstructive pulmonary disease standardized management, and control patients from the community were selected for without down to the chronic obstructive pulmonary disease standardized management...

OBJECTIVES: Synthetic datasets are artificially manufactured based on real health systems data but do not contain real patient information. We sought to validate the use of synthetic data in stroke and cancer research by conducting a comparison study of cancer patients with ischemic stroke to non-cancer patients with ischemic stroke. DESIGN: retrospective cohort study. SETTING: We used synthetic data generated by MDClone and compared it to its original source data (i...

INTRODUCTION: During the COVID pandemic, it was speculated that patients with the virus who were smoking-related might have a lower likelihood of disease exacerbation or death. To assess whether there is an association between smoking and risk of in-hospital mortality, SAVANA's big data and Natural Language Processing (NLP) technology is used. METHOD: A retrospective, observational, non-interventional cohort study was conducted based on real-life data extracted from medical records throughout Castilla La Mancha using Natural Language Processing and Artificial Intelligence techniques developed by SAVANA...

In recent years, many studies have analyzed the importance of integrating time, or aging, into the equation that relates genetics and the environment to the development and origin of COPD. Under conditions of daily clinical practice, our study attempts to identify the differences in the clinical profile of patients with COPD according to age and the impact on the global burden of the disease. This study is non-interventional and observational, using artificial intelligence and data captured from electronic medical records...

[This retracts the article DOI: 10.1155/2022/2612074.].

INTRODUCTION AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide. The aim of the study was to evaluate the impact of intervention on exacerbations of COPD in elderly patients compared to those receiving usual care. MATERIAL AND METHODS: A 12 month, multicentre, three-arm, pragmatic, cluster randomized controlled trial was performed (CRCT). The 97 largest PHC clinics with at least 46 COPD registered patients in the Łódż Province, in central Poland...

[This retracts the article DOI: 10.1155/2021/2541751.].

Asthma is a common chronic airway inflammation that produces a healthcare burden on the economy. We aim to obtain a better understanding of the clinical status and disease burden of patients with asthma in China. A retrospective study was carried out based on the computerized medical records in the Jinan Health Medical Big Data Platform between 2011 and 2019 (available data from 38 hospitals). The asthma severity of each patient was assessed retrospectively and categorized as mild, moderate, or severe according to Global Initiative for Asthma 2020 (GINA 2020)...

Objective: To assess the prevalence, risk factors and treatment of anemia in patients with chronic kidney disease (CKD). Methods: A descriptive method was used to analyze the prevalence and treatment of anemia in CKD patients based on regional health data in Yinzhou District of Ningbo during 2012-2018. The multivariate logistic regression analysis was used to identify independent influence factors of anemia in the CKD patients. Results: In 52 619 CKD patients, 15 639 suffered from by anemia (29.72%), in whom 5 461 were men (26...

BACKGROUND: The World Health Organization's strategy toward healthy aging fosters person-centered integrated care sustained by eHealth systems. However, there is a need for standardized frameworks or platforms accommodating and interconnecting multiple of these systems while ensuring secure, relevant, fair, trust-based data sharing and use. The H2020 project GATEKEEPER aims to implement and test an open-source, European, standard-based, interoperable, and secure framework serving broad populations of aging citizens with heterogeneous health needs...

No abstract text is available yet for this article.

The aim of this study was to introduce the implemented MEDBIZ platform based on the internet of medical things (IoMT) supporting real-time digital health services for precision medicine. In addition, we demonstrated four empirical studies of the digital health ecosystem that could provide real-time healthcare services based on IoMT using real-world data from in-hospital and out-hospital patients. Implemented MEDBIZ platform based on the IoMT devices and big data to provide digital healthcare services to the enterprise and users...

BACKGROUND: This study used machine learning to develop a 3-year lung cancer risk prediction model with large real-world data in a mostly younger population. METHODS: Over 4.7 million individuals, aged 45-65 years with no history of any cancer or lung cancer screening, diagnostic, or treatment procedures, with an outpatient visit in 2013 were identified in the Optum® De-identified Electronic Health Record (EHR) Dataset. A Least Absolute Shrinkage and Selection Operator model was fit using all available data in the 365 days prior...

PURPOSE: National big data pertaining to the status of common respiratory diseases is essential to devising appropriate policies to promote proper treatment and prevention of respiratory diseases amid the prolonged coronavirus disease 2019 (COVID-19) pandemic. The aim of this study is to investigate the prevalence of common respiratory diseases and their association with sociodemographic characteristics, comorbidities, and medical history using 11 years (2008-2018) of the Korea National Health and Nutrition Examination Survey (KNHANES) data, ultimately to present foundational data for policy decision making and disease prevention measures...

Patients with chronic obstructive pulmonary disease (COPD) demonstrate extra-pulmonary functional decline such as an increased prevalence of falls. Biomechanics offers insight into functional decline by examining mechanics of abnormal movement patterns. This review discusses biomechanics of functional outcomes, muscle mechanics, and breathing mechanics in patients with COPD as well as future directions and clinical perspectives. Patients with COPD demonstrate changes in their postural sway during quiet standing compared to controls, and these deficits are exacerbated when sensory information (eg, eyes closed) is manipulated...

OBJECTIVES: To evaluate the prevalence and identify demographic, economic and environmental local community determinants of chronic obstructive pulmonary disease (COPD) exacerbations in elderly in primary care using Big Data approach. DESIGN: Retrospective observational case-control study based on Big Data from the National Health Found, Tax Office and National Statistics Center databases in 2016. SETTING: Primary care clinics in the Lodz province in Poland...

Deep Learning (DL) has been broadly applied to solve big data problems in biomedical fields, which is most successful in image processing. Recently, many DL methods have been applied to analyze genomic studies. However, genomic data usually has too small a sample size to fit a complex network. They do not have common structural patterns like images to utilize pre-trained networks or take advantage of convolution layers. The concern of overusing DL methods motivates us to evaluate DL methods' performance versus popular non-deep Machine Learning (ML) methods for analyzing genomic data with a wide range of sample sizes...

Airway mucus plug is an important clinical feature of bronchial asthma and is related to the prognosis of the disease. Clinically, chest CT is a preferred tool for evaluating airway mucus plugs. At present, the interpretation of CT images relies on manual reading, but the airway mucus plugs of patients with bronchial asthma are mostly distributed in the small and medium airways, which are difficult to identify with the naked eye. In recent years, with the continuous progress of deep learning and big data technology, artificial intelligence (AI)-assisted image reading technology has been introduced into clinical application, which has significantly improved the efficiency and accuracy of mucus plug identification...

Background: Patients with chronic obstructive pulmonary disease (COPD) often suffer episodes of exacerbation of symptoms (ECOPD) that may eventually require hospitalisation due to several, often overlapping, causes. We aimed to analyse the characteristics of patients hospitalised because of ECOPD in a real-life setting using a "big data" approach. Methods: The study population included all patients over 40 years old with a diagnosis of COPD (n=69 359; prevalence 3...

Air pollution is considered the most prominent public health. Economically, air pollution imposes additional costs on governments. This study aimed to quantify health effects and associated economic values of reducing PM2.5 air pollution using BenMAP-CE in Qom in 2019. The air quality data were acquired from Qom Province Environmental Protection Agency, and the population data were collected from Qom Province Management and Planning Organization website. The number of deaths due to Stroke, Chronic Obstructive Pulmonary Disease, Lung Cancer, and Ischemic Heart Disease attributable to PM2...