Healthcare Data Mining for Fraud Detection: Identify and Reduce False Positives to Build Stronger Models

One of the key goals of healthcare data mining is to reduce false positives.  In health care fraud data mining, a false positive occurs when your model identifies a provider that is not engaging in fraudulent activity and that has legitimate reasons for having seemingly aberrant billing. Pursuing false positives can be expensive and time…