Novel Predictive Models for Metabolic Syndrome Risk: A “Big Data” Analytic Approach
Results of GNS Healthcare and Aetna collaboration published in American Journal of Managed Care
More than a third of the U.S. population has metabolic syndrome, a condition that can lead to chronic heart disease, stroke and diabetes. These conditions combine to account for almost 20 percent of overall health care costs in the US.
GNS Healthcare partnered with Aetna to demonstrate that analysis of patient records using causal machine learning and simulation can predict future risk of metabolic syndrome at an individual level. This approach allows for personalized intervention strategies to improve the health of those at risk for the disease and reduce the associated costs.
GNS is leading the way, partnering with major names in the healthcare industry to provide value-based solutions such as:
- Subpopulation Analysis
- Disease Mechanisms of Action
- Target Discovery
- Value-based Drug Models
- Intervention Optimization