CONCLUSIONS: The probability of OHSU has significantly decreased likely due to the COVID-19 pandemic. Paradoxically, we observed a reduction in OHSU inequalities during the pandemic, despite the known socioeconomic impact. However, further research
The aim of the Social Media Mining for Health Applications (#SMM4H) shared tasks is to take a community-driven approach to address the natural language processing and machine learning challenges inherent to utilizing social media data for health
In response to unprecedented surges in the demand for hospital care during the SARS-CoV-2 pandemic, health systems have prioritized patients with COVID-19 to life-saving hospital care to the detriment of other patients. In contrast to these ad hoc
CONCLUSIONS: SARS-CoV-2 infection had the highest hazard of in-hospital mortality in this pediatric cohort hospitalized with SARI. Regardless of viral etiology, the presence of underlying medical conditions was a risk factor for death.
The coronavirus pandemic caused by the SARS-CoV-2 virus, which humanity resisted using the latest advances in science, left behind, among other things, extensive genetic data. Every day since the end of 2019, samples of the virus genomes have been
The continuous-time Markov chain (CTMC) is the mathematical workhorse of evolutionary biology. Learning CTMC model parameters using modern, gradient-based methods requires the derivative of the matrix exponential evaluated at the CTMC's infinitesimal
CONCLUSIONS: Patients treated with VV ECMO for COVID-19-associated respiratory failure may require prolonged support to recover. Extubation, ambulation, aggressive rehabilitation, and nutritional support while on ECMO can yield favorable outcomes.
CONCLUSIONS: Smart sanitizers could have a valuable role in improving hygiene practices in offices and reducing disease transmission. Many actionable uses for data collected from smart systems were identified. However, office workers consider HH as a