Machine-learning driven real-time data analysis

Abstract

A data processing system for insurance claims analysis and adjudication implements obtaining policy coverage information for each of a plurality of insurance policies and insurance claim information associated with an insured user, analyzing the insurance claim information using a first machine learning model to identify an occurrence of a first type of event and a first group of insurance claims associated with the first type of event; analyzing the first group of insurance claims, the policy information, and an indication of the first type of event using a second machine learning model to obtain a prediction whether a respective insurance policy will cover the first insurance claim; and responsive to determining that the respective insurance policy will cover the first insurance claim, causing a user interface to be presented on a display of a computing device associated with the insured user to guide the insured user through submitting the first insurance claim to an insurance provider associated with the respective insurance policy.