“Predictive modeling uses regression analysis to project forward and try to predict future health events,” says Dr. Orr. When using predictive modeling, “the quality of data and the size of the data ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Companies such as Google, Facebook and Amazon.com understand this lesson well, which is why you start seeing ads for products that you’ve looked at online about five seconds after you browsed for them ...

CAR T-cell therapy has revolutionized cancer treatment for B cell and plasma cell malignancies, turning patients’ own immune cells into cancer-fighting superheroes—but even superheroes can cause ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Chad Beam provides the ins and outs of the implementation of GIS, advanced communication systems and predictive modeling to ensure that staffing, to whatever extent, is utilized most effectively. A ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.