System and Method for Medical Triage Through Deep Q-Learning

The present application presents a methodology that applies reinforcement learning to train a neural network to perform medical triage by analyzing medical evidence of a patient (for instance, obtained via an interface with the patient), assigning a triage level to the patient where sufficient evidence has been obtained to make a reliable triage decision, and requesting more evidence where needed. By learning when to ask for more information and when to make a decision, the neural network can be trained to make quicker decisions on fewer pieces of evidence whilst still ensuring an accurate and safe triage level is determined.