Automatic classification of doctor-patient questions for a virtual patient record query task
Leonardo Campillos Llanos, Sophie Rosset, Pierre Zweigenbaum · 2017
We present the work-in-progress of automating the classification of doctorpatient questions in the context of a simulated consultation with a virtual patient.We classify questions according to the computational strategy (rule-based or other) needed for looking up data in the clinical record.We compare 'traditional' machine learning methods (Gaussian and Multinomial Naive Bayes, and Support Vector Machines) and a neural network classifier (FastText).We obtained the best results with the SVM using semantic annotations, but the neural classifier achieved promising results without it.