Auto dealers today are under constant pressure to operate more efficiently, forecast more accurately, and make faster, data-driven decisions. From inventory management to customer engagement, ...

This story was originally published by Data-Smart City Solutions. Ever heard of a “rat ride-along?” Neither had Peter Casey, Senior Data Scientist in The Lab @ DC and member of the Office of the Chief ...

The frailty determination of the Adjusted Clinical Groups“diagnoses based predictive model identified frail elders with moderate success compared with a validated screening questionnaire. To determine ...

Paolo Gaudiano is a mathematician and cognitive scientist who is often asked to demystify the practice of predictive modeling for businesses. A former professor at Boston University, he left academia ...

"To our knowledge, the VA-ADPKD cohort (12,217 patients with ADPKD) is currently the largest ADPKD patient cohort with sufficient clinical data to support potential predictive modeling of key ADPKD ...

—In a new study, researchers applied predictive machine learning techniques to develop an algorithm capable of identifying patients at increased risk of upstaging, personalizing treatment, and ...