In this clip, Jeff Turpin, director, product development, discusses classic machine learning in healthcare and its "two phases," the k-means clustering algorithm, risk stratification, natural language processing (NLP), and how having real-time data is crucial for minimizing readmission risks. 

Healthcare happens in real time, even outside the doctor’s office, and that’s why a growing number of healthcare management systems are pushing out event-driven, real-time data feeds. Learn more: Download the white paper now!