Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

We often hear about various reports on the inefficacy of machine learning algorithms in healthcare – especially in the clinical arena. For instance, Epic's sepsis model was in the news for high rates ...

Massachusetts General Hospital researchers have found a way to maximize patient information in EHRs to predict likelihood of developing diseases. The study, published in Cell Patterns, details how ...

Most AI tools are working with incomplete, siloed data, giving leaders a fragmented view of their own interconnected business ...

Predictive analytics–driven disease management outperforms standard of care among patients with chronic heart failure. Objectives: To evaluate the effect of a predictive algorithm–driven disease ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

In order to build an effective people analytics practice, it’s best to break the process up into three steps. The first step is to obtain good historical data. The second is to visualize and trend ...

Each year, sepsis affects more than 30 million people worldwide, causing an estimated six million deaths. Sepsis is the body's extreme response to an infection and is often life-threatening. Since ...