Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

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

A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

With an entire season’s worth of data available, let’s look back and see how each part of Oregon’s offense performed.

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

Persistent depression following transient ischemic attack is associated with a 4-fold increase in 5-year all-cause mortality and higher disability.

Objective To help to clarify whether long term use of proton pump inhibitors is associated with an increased risk of gastric adenocarcinoma by designing a study that considered the existing literature ...