Objective To provide focused evaluation of predictive modeling of electronic medical record
(EMR) data to predict 30 day hospital readmission. Design Systematic review. Data source …

Simple Summary Early detection of breast cancer in asymptomatic women through
screening is an important strategy in reducing the burden of breast cancer. In current …

Background & Aims Fibrosis affects prognoses for patients with nonalcoholic fatty liver
disease (NAFLD). Several non-invasive scoring systems have aimed to identify patients at …

Purpose Recalibration and determining discriminative power, internationally, of the existing
delirium prediction model (PRE-DELIRIC) for intensive care patients. Methods A prospective …

Surveillance is critical in containing globally increasing antimicrobial resistance (AMR).
Affordable methodologies to prioritize AMR surveillance efforts are urgently needed …

Purpose Lymphovascular invasion (LVI) is associated with metastasis and poor survival in
patients with gastric cancer, yet the noninvasive diagnosis of LVI is difficult. This study aims …

Dear editor, Severity of illness scores are used for benchmarking and assessment of
adjusted mortality in intensive care units (ICU). The Acute Physiology and Chronic Health …

Calibration is one of the main properties that must be accomplished by any predictive model.
Overcoming the limitations of many approaches developed so far, a study has recently …

Background Remnant cholesterol has been identified as one of leading lipid values
associated with the incidence of coronary heart disease. There is scarce evidence on its …

A prognostic model is well calibrated when it accurately predicts event rates. This is first
determined by testing for goodness of fit with the development dataset. All existing tests and …