ANOMALY DETECTION IN HEALTH CARE

Social insurance industry is developing at a quickly around the world. In the meantime, unusual cases in human services are turning into a major issue. Physically identifying medicinal services cases requires much, machine learning and information mining strategies are connected to consequently identify human services oddities. This paper proposes a PageRank-based calculation to human services irregularities.