Insurance providers spend enormous money to get pre-screening done before offering insurance to individuals. We build a pre-screen which will optimize this by suggesting appropriate lab tests for a new customer.

Pre-screen utilizes EMR dataset to build a graph and perform clustering to group similar individuals based on their medical history.
Pre-Screen then clusters the graph. For any new individual, the trained model can be utilized to predict the cluster label. Using graph properties appropriate lab tests can be suggested.