Bo Hu

TL;DR: The epidemiological and clinical characteristics of novel coronavirus (2019-nCoV)-infected pneumonia in Wuhan, China, and hospital-associated transmission as the presumed mechanism of infection for affected health professionals and hospitalized patients are described.

TL;DR: This rapid advice guideline is suitable for the first frontline doctors and nurses, managers of hospitals and healthcare sections, community residents, public health persons, relevant researchers, and all person who are interested in the 2019-nCoV.

TL;DR: A period of 7–13 days after illness onset is the critical stage in the COVID-19 course, which shows persistent lymphopenia, severe acute respiratory dyspnea syndrome, refractory shock, anuric acute kidney injury, coagulopathy, thrombocytopenia, and death.

TL;DR: In this article , a machine learning model based on clinical features for early predicting in-hospital mortality in critically ill patients with sepsis was developed and validated using the SHapley additive explanations (SHAP) method.

TL;DR: In this article , the authors developed and validated a machine learning (ML) model for predicting in-hospital mortality in septic patients readmitted to the ICU using routinely available clinical data, and the model with the best accuracy and area under the curve (A.C.) in the validation cohort was defined as the optimal model and was selected for further prediction studies.