CONCLUSIONS: Regarding the categories of detection methods, evaluating detection methods using homogeneous data across countries and years provides a solid and consistent comparison. An explainability analysis of a tree-based machine-learning model
CONCLUSION: For future lockdowns or other healthcare bottleneck circumstances, the impact of postponement in bariatric patients has to be addressed and prioritization of vulnerable patients (e.g. diabetics) should be considered.
To effectively mitigate the spread of communicable diseases, it is necessary to understand the interactions that enable disease transmission among individuals in a population; we refer to the set of these interactions as a contact network. The
CONCLUSION: COVID-19 pandemic causes serious decline in the continuity of care for patients with chronic conditions. Such a deterioration not only can lead to make these patients` condition worse in a long-term period but also it can make irreparable
CONCLUSION: Based on NMA results, we suggest that CBT, which is the most commonly used digital technology, should be preferred among digital psychotherapy for relieving depression and anxiety symptoms. Digital exercise therapy is an effective
Following the COVID-19 pandemic, a growing percentage of COVID-19 survivors exhibit post-COVID symptoms. This cross-sectional study aimed to assess radiological findings in individuals having post-COVID respiratory problems. This study was conducted
COVID-19 is transmitted by airborne particles containing virions of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Coronavirus virions represent nanoparticles enveloped by a lipid bilayer decorated by a "crown" of Spike protein