Misuse mitigation: smartphone data while walking and anomaly detection in health insurance campaigns

Puntos clave

• The central aim is to explore how smartphone data can help detect anomalies in health insurance campaigns to prevent misuse.
• Analyzed smartphone data collected while walking.
• Applied anomaly detection techniques to identify misuse patterns in health insurance campaigns.
• Evaluated the effectiveness of identified interventions.
• Identified key anomalies associated with misuse in health insurance campaigns.
• Demonstrated a significant reduction in misuse instances after implementing data-driven interventions.