|Image from KDnuggets.com|
While debates over privacy issues related to electronic health records are still ongoing, predictive analytics are beginning to being used with administrative health data (available to health insurance companies, aka, “health provider networks”). One such venue are large data mining contests. Let me describe a few and then get to my point about their contribution to pubic health, medicine and to data mining research.
The latest and grandest is the ongoing $3 million prize contest by Hereitage Provider Network, which opened in 2010 and lasts 2 years. The contest’s stated goal is to create “an algorithm that predicts how many days a patient will spend in a hospital in the next year“. Participants get a dataset of de-identified medical records of 100,000 individuals, on which they can train their algorithms. The article in KDNuggets.com suggests that this competition’s goal is “to spur development of new approaches in the analysis of health data and create new predictive algorithms.”
The 2010 SAS Data Mining Shootout contest was also health-related. Unfortunately, the contest webpage is no longer available (the problem description and data were previously available here), and I couldn’t find any information on the winning strategies. From an article in KDNuggets:
“analyzing the medical, demographic, and behavioral data of 50,788 individuals, some of whom had diabetes. The task was to determine the economic benefit of reducing the Body Mass Indices (BMIs) of a selected number of individuals by 10% and to determine the cost savings that would accrue to the Federal Government’s Medicare and Medicaid programs, as well as to the economy as a whole“
In 2009, the INFORMS data mining contest was co-organized by IBM Research and Health Care Intelligence, focused on “health care quality”. Strangely enough, this contest website is also gone. A brief description by the organizer (Claudia Perlich) is given on KDNuggets.com, stating the two goals :
- modeling of a patient transfer guideline for patients with a severe medical condition from a community hospital setting to tertiary hospital provider and
- assessment of the severity/risk of death of a patient’s condition.