Subtypes of preeclampsia: recognition and determining clinical usefulness
JM Roberts, JW Rich-Edwards, TF McElrath… - …, 2021 - Am Heart Assoc
The concept that preeclampsia is a multisystemic syndrome is appreciated in both research
and clinical care. Our understanding of pathophysiology recognizes the role of inflammation …
and clinical care. Our understanding of pathophysiology recognizes the role of inflammation …
Bibliometric analysis of coronavirus disease (COVID-19) literature published in Web of Science 2019–2020
Abstract Coronavirus outbreak in Wuhan, China, turned into a pandemic in record time.
Communication of disease presentation and mechanism of spread remain keys to getting …
Communication of disease presentation and mechanism of spread remain keys to getting …
A global outlook to the interruption of education due to COVID-19 pandemic: Navigating in a time of uncertainty and crisis
Uncertain times require prompt reflexes to survive and this study is a collaborative reflex to
better understand uncertainty and navigate through it. The Coronavirus (Covid-19) …
better understand uncertainty and navigate through it. The Coronavirus (Covid-19) …
Smart city as a smart service system: Human-computer interaction and smart city surveillance systems
Smart city services, smart applications and smart devices form an ecosystem of tools and
artifacts that challenge, and times even disrupt, conventions, norms, and rites of behavior …
artifacts that challenge, and times even disrupt, conventions, norms, and rites of behavior …
Federated learning for predicting clinical outcomes in patients with COVID-19
Federated learning (FL) is a method used for training artificial intelligence models with data
from multiple sources while maintaining data anonymity, thus removing many barriers to …
from multiple sources while maintaining data anonymity, thus removing many barriers to …
An agent-based model for supply chain recovery in the wake of the COVID-19 pandemic
The current COVID-19 pandemic has hugely disrupted supply chains (SCs) in different
sectors globally. The global demand for many essential items (eg, facemasks, food products) …
sectors globally. The global demand for many essential items (eg, facemasks, food products) …
[PDF][PDF] Cardiovascular comorbidity of COVID-19 disease: A review
Many studies have approved that COVID-19 disease caused by Middle East respiratory
syndrome coronavirus (MERS-CoV), severe acute respiratory syndrome coronavirus-2 …
syndrome coronavirus (MERS-CoV), severe acute respiratory syndrome coronavirus-2 …
FedDPGAN: federated differentially private generative adversarial networks framework for the detection of COVID-19 pneumonia
Existing deep learning technologies generally learn the features of chest X-ray data
generated by Generative Adversarial Networks (GAN) to diagnose COVID-19 pneumonia …
generated by Generative Adversarial Networks (GAN) to diagnose COVID-19 pneumonia …
Estimating the parameters of susceptible-infected-recovered model of COVID-19 cases in India during lockdown periods
Owing to the pandemic scenario of COVID-19 disease cases all over the world, the outbreak
prediction has become extremely complex for the emerging scientific research. Several …
prediction has become extremely complex for the emerging scientific research. Several …
Optimizing pandemic preparedness and response through health information systems: lessons learned from Ebola to COVID-19
Strengthening health systems and maintaining essential service delivery during health
emergencies response is critical for early detection and diagnosis, prompt treatment, and …
emergencies response is critical for early detection and diagnosis, prompt treatment, and …