Large Scale Predictive Models for Chronic Illness Using Fuzzy Logix's In-Database Analytics Technology on Netezza


March 30 at 1:00pm EST / 10:00am PST


  • Christopher Hane, Ph.D., Ingenix, 
  • Partha Sen, Fuzzy Logix,
  • Bill Zanine, Netezza, an IBM Company

Featuring a live software demo

Ingenix – an industry leader in healthcare information technology has a data repository consisting of diagnosis, procedure, pharmacy, and lab claims covering 80 million lives over the last 17 years.

Join us for this 60 minute webinar as we share how Ingenix is using Fuzzy Logix's in-database analytics technology on to build statistical models which help in identifying individuals at risk of a certain disease, based on the similarity of their historical claims with others whose history and outcome is known.  Speakers of this webinar will cover: 

  • The critical need for early intervention and how for people at risk so as to delay or even prevent the onset of the disease
  • A case study of developing the predictive models for type 2 diabetes mellitus
  • The entire process starting with filtering raw claims data, building regression models with diagnostics, solving for coefficients and computing accuracy measures
  • How the process is completed in 30 minutes for population sizes of over 2 million people with 2,000 predictors on a Netezza TwinFin 12 platform running the In-Database Analytics library DB Lytix from Fuzzy Logix

Register Now!