Thursday, May 12, 2011 – 1:00pm EST/10:00am EST

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Christopher Hane
Christopher Hane, Ph.D.
Senior Scientist and Director
Ingenix Innovation Lab

Partha Sen
Partha Sen
Co-founder and Chief Executive Officer
Fuzzy Logix


Bill Zanine
Bill Zanine
Business Solution Executive, Analytic Solutions

At this webinar you will learn how historical data is used to build statistical models which help to identify individuals at risk of a certain disease, based on the similarity of their historical claims with others whose history and outcome is known. 

The objective is that early intervention for people at risk may delay or even prevent the onset of the disease. We present a case study of developing the models for type 2 diabetes mellitus.

The entire process starting with raw claims data, building regression models with diagnostics, solving for coefficients and computing accuracy measures, is completed in 30 minutes for population sizes of over 2 million people with 2,000 predictors in a Netezza TwinFin 12 database running Fuzzy Logix DB Lytix in-database analytics library.

Ingenix, a UnitedHealth company, 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. Works with over 6,000 hospitals, 250,000 physicians, and 350 state and Federal agencies.


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