Mobile health in remote patient monitoring for chronic diseases: Principles, trends, and challenges
Chronic diseases are becoming more widespread. Treatment and monitoring of these
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
diseases require going to hospitals frequently, which increases the burdens of hospitals and …
Comprehensive survey of using machine learning in the COVID-19 pandemic
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
coronavirus disease (COVID-19). With the incremental acceleration of the number of …
End-to-end deep learning framework for coronavirus (COVID-19) detection and monitoring
Coronavirus (COVID-19) is a new virus of viral pneumonia. It can outbreak in the world
through person-to-person transmission. Although several medical companies provide …
through person-to-person transmission. Although several medical companies provide …
Heterogeneous ensemble deep learning model for enhanced Arabic sentiment analysis
Sentiment analysis was nominated as a hot research topic a decade ago for its increasing
importance in analyzing the people's opinions extracted from social media platforms …
importance in analyzing the people's opinions extracted from social media platforms …
Explainable artificial intelligence of multi-level stacking ensemble for detection of Alzheimer's disease based on particle swarm optimization and the sub-scores of …
Alzheimer's disease (AD) is a progressive neurological disorder characterized by memory
loss and cognitive decline, affecting millions worldwide. Early detection is crucial for effective …
loss and cognitive decline, affecting millions worldwide. Early detection is crucial for effective …
ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation
AF Stephens, M Šeman, A Diehl, D Pilcher… - Intensive Care …, 2023 - Springer
Purpose Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a complex and
high-risk life support modality used in severe cardiorespiratory failure. ECMO survival scores …
high-risk life support modality used in severe cardiorespiratory failure. ECMO survival scores …
RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Gestational diabetes mellitus (GDM) is one of the pregnancy complications that endangers
both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However …
both mothers and babies. GDM is usually diagnosed at 22–26 weeks of gestation. However …
[HTML][HTML] Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Robust and rabid mortality prediction is crucial in intensive care units because it is
considered one of the critical steps for treating patients with serious conditions. Combining …
considered one of the critical steps for treating patients with serious conditions. Combining …
A systematic review of time series classification techniques used in biomedical applications
Background: Digital clinical measures collected via various digital sensing technologies
such as smartphones, smartwatches, wearables, and ingestible and implantable sensors …
such as smartphones, smartwatches, wearables, and ingestible and implantable sensors …
Stacking ensemble learning model to predict 6-month mortality in ischemic stroke patients
L Hwangbo, YJ Kang, H Kwon, JI Lee, HJ Cho, JK Ko… - Scientific reports, 2022 - nature.com
Patients with acute ischemic stroke can benefit from reperfusion therapy. Nevertheless, there
are gray areas where initiation of reperfusion therapy is neither supported nor …
are gray areas where initiation of reperfusion therapy is neither supported nor …