Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions
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 la...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2022-01-01
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| Series: | Computational Psychiatry |
| Subjects: | |
| Online Access: | https://cpsyjournal.org/articles/78 |
| Summary: | 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. |
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| ISSN: | 2379-6227 |