Background Machine learning (ML) methods are increasingly used in addition to
conventional statistical modelling (CSM) for predicting readmission and mortality in patients …

Innovations in health care are growing exponentially, resulting in improved quality of and
access to care, as well as rising societal costs of care and variable reimbursement. In recent …

Background Hospital readmissions are a key quality metric, which has been tied to
reimbursement. One strategy to reduce readmissions is to direct resources to patients at the …

Background Assessing calibration—the agreement between estimated risk and observed
proportions—is an important component of deriving and validating clinical prediction …

Background Acute myocardial infarction (AMI) is a serious cardiovascular disease, followed
by a high readmission rate within 30-days of discharge. Accurate prediction of AMI …

(1) Background: Patients with acute myocardial infarction (AMI) still experience many major
adverse cardiovascular events (MACEs), including myocardial infarction, heart failure …

Hospital readmission is one of the challenges that force an extra pressure and financial
burden on healthcare and causes a significant waste of medical resources. However, some …

Social media platforms such as Twitter or StockTwits are widely used for sharing stock
market opinions between investors, traders, and entrepreneurs. Empirically, previous work …

Background Short-term unplanned readmission is always neglected, especially for elderly
patients with coronary heart disease (CHD). However, tools to predict unplanned …

This study demonstrates how a colorimetric biosensor based on microfluidic paper can
swiftly diagnose a disease and predict its prognosis to triage patients effectively. This was …