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: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2022-01-01
|
| Series: | Computational Psychiatry |
| Subjects: | |
| Online Access: | https://cpsyjournal.org/articles/78 |
| _version_ | 1811259610148896768 |
|---|---|
| author | Daniel S. Barron Stephen Heisig Carla Agurto Raquel Norel Brittany Quagan Albert Powers Michael L. Birnbaum Todd Constable Guillermo Cecchi John H. Krystal |
| author_facet | Daniel S. Barron Stephen Heisig Carla Agurto Raquel Norel Brittany Quagan Albert Powers Michael L. Birnbaum Todd Constable Guillermo Cecchi John H. Krystal |
| author_sort | Daniel S. Barron |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T18:34:16Z |
| format | Article |
| id | doaj.art-8e1168b23fd54936b24970cbf8f0be68 |
| institution | Directory Open Access Journal |
| issn | 2379-6227 |
| language | English |
| last_indexed | 2024-04-12T18:34:16Z |
| publishDate | 2022-01-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Computational Psychiatry |
| spelling | doaj.art-8e1168b23fd54936b24970cbf8f0be682022-12-22T03:21:00ZengUbiquity PressComputational Psychiatry2379-62272022-01-016110.5334/cpsy.7864Feasibility Analysis of Phenotype Quantification from Unstructured Clinical InteractionsDaniel S. Barron0Stephen Heisig1Carla Agurto2Raquel Norel3Brittany Quagan4Albert Powers5Michael L. Birnbaum6Todd Constable7Guillermo Cecchi8John H. Krystal9Department of Psychiatry, Yale University, New Haven, CT; Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; Department of Anesthesiology and Pain Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MADepartment of Neurology, Icahn School of Medicine, Mt. Sinai, NYT.J. Watson IBM Research Laboratory, Yorktown Heights, NYT.J. Watson IBM Research Laboratory, Yorktown Heights, NYDepartment of Psychiatry, Yale University, New Haven, CTDepartment of Psychiatry, Yale University, New Haven, CTDepartment of Psychiatric Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NYDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT; Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06520T.J. Watson IBM Research Laboratory, Yorktown Heights, NYDepartment of Psychiatry, Yale University, New Haven, CTWe 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.https://cpsyjournal.org/articles/78digital phenotypeconversationvoicefacial featureacoustic |
| spellingShingle | Daniel S. Barron Stephen Heisig Carla Agurto Raquel Norel Brittany Quagan Albert Powers Michael L. Birnbaum Todd Constable Guillermo Cecchi John H. Krystal Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions Computational Psychiatry digital phenotype conversation voice facial feature acoustic |
| title | Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions |
| title_full | Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions |
| title_fullStr | Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions |
| title_full_unstemmed | Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions |
| title_short | Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions |
| title_sort | feasibility analysis of phenotype quantification from unstructured clinical interactions |
| topic | digital phenotype conversation voice facial feature acoustic |
| url | https://cpsyjournal.org/articles/78 |
| work_keys_str_mv | AT danielsbarron feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT stephenheisig feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT carlaagurto feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT raquelnorel feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT brittanyquagan feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT albertpowers feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT michaellbirnbaum feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT toddconstable feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT guillermocecchi feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions AT johnhkrystal feasibilityanalysisofphenotypequantificationfromunstructuredclinicalinteractions |