Objective To develop and validate a pragmatic risk score to predict mortality in patients
admitted to hospital with coronavirus disease 2019 (covid-19). Design Prospective …

Background In the current context of high fatality rates associated with American visceral
leishmaniasis (VL), the appropriate use of prognostic factors to identify patients at higher risk …

When developing prediction models for application in clinical practice, health practitioners
usually categorise clinical variables that are continuous in nature. Although categorisation is …

In recent years, there has been a considerable focus on developing effective methods for
monitoring health care processes. Utilizing Statistical Process Monitoring (SPM) …

Background The majority of available studies on the AMH thresholds were not age-specific
and performed the receiver operating characteristic curve (ROC) analysis, based on …

The high impact of the lymph node ratio as a prognostic factor is widely established in
colorectal cancer, and is being used as a categorized predictor variable in several studies …

Sensitive biomedical data is often collected from distributed sources, involving different
information systems and different organizational units. Local autonomy and legal reasons …

Background: Acute kidney injury is common in patients with sepsis and contributes to poor
prognosis and mortality. Early identification of high-risk patients can provide evidence for …

Hot-spring tourism refers to entertainment, health preservation, commercial conferences,
and other leisure activities at hot-spring locations. This tourism often shows periodic …

Background Extensive studies have linked PM 2.5 and PM 10 with respiratory diseases
(RD). However, few is known about causal association between PM 1 and morbidity of RD …