[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 …
Hierarchical ZnO/CuO nanostructures for room temperature detection of carbon dioxide
S Keerthana, K Rathnakannan - Journal of Alloys and Compounds, 2022 - Elsevier
Abstract Hierarchical ZnO/CuO nanorods were grown on RF sputtered ZnO seed layer via
the hydrothermal method and their characteristics are analyzed by high resolution scanning …
the hydrothermal method and their characteristics are analyzed by high resolution scanning …
Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms
Due to the continued evolution of the SARS-CoV-2 pandemic, researchers worldwide are
working to mitigate, suppress its spread, and better understand it by deploying digital signal …
working to mitigate, suppress its spread, and better understand it by deploying digital signal …
Impact of artificial intelligence in nursing for geriatric clinical care for chronic diseases: A systematic literature review
Nurses are essential in managing the healthcare of older adults, particularly those over 65,
who often face multiple chronic conditions. This group requires comprehensive physical …
who often face multiple chronic conditions. This group requires comprehensive physical …
On analyzing capnogram as a novel method for screening covid-19: A review on assessment methods for covid-19
MB Malarvili, M Alexie, N Dahari, A Kamarudin - Life, 2021 - mdpi.com
In November 2019, the novel coronavirus disease COVID-19 was reported in Wuhan city,
China, and was reported in other countries around the globe. COVID-19 is caused by severe …
China, and was reported in other countries around the globe. COVID-19 is caused by severe …
An effective machine learning approach for classifying artefact-free and distorted capnogram segments using simple time-domain features
Capnogram signal analysis has received considerable attention owing to its important
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
applications in assessing cardiopulmonary functions. However, the automatic elimination of …
Automated asthma detection in a 1326-subject cohort using a one-dimensional attractive-and-repulsive center-symmetric local binary pattern technique with cough …
Asthma is a common disease. The clinical diagnosis is usually confirmed on a pulmonary
function test, which is not always readily accessible. We aimed to develop a computationally …
function test, which is not always readily accessible. We aimed to develop a computationally …
Demystification of artificial intelligence for respiratory clinicians managing patients with obstructive lung diseases
Introduction Asthma and chronic obstructive pulmonary disease (COPD) are leading causes
of morbidity and mortality worldwide. Despite all available diagnostics and treatments, these …
of morbidity and mortality worldwide. Despite all available diagnostics and treatments, these …
[HTML][HTML] Accelerating the Diagnosis of Pandemic Infection Based on Rapid Sampling Algorithm for Fast-Response Breath Gas Analyzers
A Prokopiuk, J Wojtas - Sensors, 2024 - mdpi.com
This paper presents a novel technique for extracting the alveolar part of human breath. Gas
exchange occurs between blood and inhaled air in the alveoli, which is helpful in medical …
exchange occurs between blood and inhaled air in the alveoli, which is helpful in medical …
Automatic classification of regular and irregular capnogram segments using time-and frequency-domain features: A machine learning-based approach
IM El-Badawy, OP Singh… - Technology and Health …, 2021 - content.iospress.com
BACKGROUND: The quantitative features of a capnogram signal are important clinical
metrics in assessing pulmonary function. However, these features should be quantified from …
metrics in assessing pulmonary function. However, these features should be quantified from …