CONCLUSION: Baricitinib significantly improves clinical outcomes in hospitalized patients with COVID-19 pneumonia, and further evidence will establish the drug as a standard treatment among such patients.
This study uses K-Means Clustering to analyze Corona-Virus Diseases (Covid-19). Data mining in medicine has generated novel approaches to examine diseases. Coronavirus is difficult to treat because of its intricate structure, shape, and texture. Due
CONCLUSIONS: In this cohort, claims-based frailty was not significantly associated with survival but was associated with follow-up hospitalizations and Medicare expenditures.
Drawing on conservation of resources (COR) theory, we aimed to investigate whether leisure crafting reduces emotional exhaustion by improving sleep quality and strengthening psychological detachment from the coronavirus disease 2019 (COVID-19)
CONCLUSIONS: Our work contributes to prior knowledge by showing that a strong belief in the role of AI in the future of medical professions is a necessary condition for behavioral intentions to use AI. Moreover, we suggest that the preparation of
Covid-19 has forced many educational institutions to adopt e-learning as an alternative to physical classroom learning. However, the concern of critical stakeholders in higher educational institutions on the adoption and usage of e-learning system
COVID-19 has rapidly impacted societies on a global scale, with older people among the most affected. To care for older people living in their own homes, female family caregivers play a pivotal role. The current study aimed to explore the actions of
CONCLUSION: The incidence of significant upper extremity musculoskeletal injuries increased during the pandemic even though the overall number of ED presentations for upper extremity musculoskeletal injuries decreased.