Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions
Daniel S. Barron, Stephen Heisig, Carla Agurto, Raquel Norel, Brittany Quagan, Albert R. Powers, Michael Leo Birnbaum, Todd R. Constable, Guillermo Cecchi, John Harrison Krystal · Computational Psychiatry · 2022
We conducted a feasibility analysis to determine the quality of data that could be collected ambiently during routine clinical conversations. We used inexpensive, consumer-grade hardware to record unstructured dialogue and open-source software tools to quantify and model face, voice (acoustic and language) and movement features. We used an external validation set to perform proof-of-concept predictive analyses and show that clinically relevant measures can be produced without a restrictive protocol.