Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

The study provides clear evidence that financial discrimination in the United States is not distributed evenly across ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

Higher dietary inflammation increased depression risk, partly through visceral obesity, highlighting BRI as a key pathway for ...

With the rapid development of the global economy, many countries particularly China are facing significant aging challenges [ ...

Novel nomogram models predict early neurological deterioration and 90-day outcomes in AIS patients treated with IV ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...

The findings, published in the Journal of Inflammation Research, highlight the potential of simple blood indices such as the ...

While grief is a natural part of loss, some people experience persistently high levels that can have long-term health ...

A new study finds four factors that may make it more likely for some people to experience successful weight loss from using ...