A survey on detecting healthcare concept drift in AI/ML models from a finance perspective.

Data is incredibly significant in today's digital age because data represents facts and numbers from our regular life transactions. Data is no longer arriving in a static form; it is now arriving in a streaming fashion. Data streams are the arrival of limitless, continuous, and rapid data.

A novel technique for detecting sudden concept drift in healthcare data using multi-linear artificial intelligence techniques.

A financial market is a platform to produce data streams continuously and around 1. 145 Trillion MB of data per day. Estimation and the analysis of unknown or dynamic behaviors of these systems is one the challenging tasks.