Combining Contrast Mining with Logistic Regression To Predict Healthcare Utilization in a Managed...

Conclusions: EHR mining reduced an unusably high number of patient attributes to a manageable set of potential healthcare utilization predictors, without conjecturing on which attributes would be useful. Treating these results as hypotheses to be tested by conventional methods yielded a highly accurate predictive model. This novel, two-step methodology can assist population health managers to focus preventive and longitudinal care on those patients who are at highest risk for increased utilization....
Source: Applied Clinical Informatics - Category: Information Technology Source Type: research