Combining Contrast Mining with Logistic Regression To Predict Healthcare Utilization in a Managed Care Population.
Because 5% of patients incur 50% of healthcare expenses, population health managers need to be able to focus preventive and longitudinal care on those patients who are at highest risk of increased utilization. Predictive analytics can be used to identify these patients and to better manage their care. Data mining permits the development of models that surpass the size restrictions of traditional statistical methods and take advantage of the rich [...]
Author(s): Sheets, Lincoln, Petroski, Gregory F, Zhuang, Yan, Phinney, Michael A, Ge, Bin, Parker, Jerry C, Shyu, Chi-Ren
DOI: 10.4338/ACI-2016-05-RA-0078