Inquire and Diagnose : Neural Symptom Checking Ensemble using Deep Reinforcement Learning

This work proposes a novel symptom checker: an ensemble neural network model that learns to inquire symptoms and diagnose diseases. The ensemble model consists of several small anatomical models that are responsible for different anatomical parts. Compared to the traditional single monolithic model approach, our ensemble approach obtains markedly higher disease-prediction accuracy.