Toward a Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency. (arXiv:2312.11509v3 [cs.CL] UPDATED)

We propose a reinforcement learning (RL)-based system that would
automatically prescribe a hypothetical patient medication that may help the
patient with their mental health-related speech disfluency, and adjust the
medication and the dosages in response to zero-cost frequent measurement of the
fluency of the patient. We demonstrate the components of the system: a module
that detects and evaluates speech disfluency on a large dataset we built, and
an RL algorithm that automatically finds good combinations of medications. To
support the …

adjusting arxiv cost cs.cl health measurement mental health patient reinforcement reinforcement learning speech