Towards a Complex Evolutionary Agent-Based System for Medical Sensor Data

(joint work with Todor Ivasku)

Various gadgets and medical devices collect data from patients continuously. Processing this information and learning from it is a challenge for data scientists as this kind of data comes in complex and large quantities, making the decision of what kind of algorithms to apply for the best results difficult and time consuming. We are trying to build a multi-agent system that enables autonomous selection and application of the best methods for the given data by combining the properties of agents and genetic algorithms.