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 ...

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

A statewide evaluation found that California schools receiving TUPE funding delivered more antitobacco education and ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

Less than 30% of pediatric patients who survived ICU hospitalization followed up with their primary care provider within 1 ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Enterprise software is moving beyond data collection toward decision intelligence. Cloud platforms, APIs, and analytics reshaped how information flows across or ...

HITL is essentially a feedback loop where humans oversee the work to refine the model. The goal is transparency and ...

A prospective study found that diabetes mellitus and anuria are significant predictors of high post-void residual following ...