Publications

Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors

Holmlund, T.B., Chandler, C., Foltz, P.W., Diaz-Asper, C., Cohen, A.S., Rodriguez, Z., Elvevåg, B. (2022). Towards a temporospatial framework for measurements of disorganization in speech using semantic vectors. Schizophrenia Research.

Reflections on the nature of measurement in language-based automated assessments of patients’ mental state and cognitive function

Foltz, P.W., Chandler, C., Diaz-Asper, C., Cohen, A.S., Rodriguez, Z., Holmlund, T.B., and Elvevåg B. (2022) Reflections on the nature of measurement in language-based automated assessments of patients' mental state and cognitive function. Schizophrenia Research.

Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone

Diaz-Asper, C., Chandler, C., Turner, R.S., Reynolds, B., and Elvevåg, B. (2022) Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone. Cortex

Using automated syllable counting to detect missing information in speech transcripts from clinical settings

Diaz-Asper, M., Holmlund, T.B., Chandler, C., Diaz-Asper, C., Foltz, P.W., Cohen, A.S., and Elvevåg, B. (2022) Using automated syllable counting to detect missing information in speech transcripts from clinical settings. Psychiatry Research. Volume 315, 114712.

Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation

Cohen, A.S., Rodriguez, Z., Warren, K.K., Cowan, T., Masucci, M.D., Granrud, O.E., Holmlund, T.B., Chandler, C., Foltz, P.W., and Strauss, G.P. (2022) Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric Evaluation. Schizophrenia Bulletin, Themed Issue: Translating Natural Language Processing (NLP) into mainstream schizophrenia assessment. Volume 48, Issue 5, Pages 939–948

Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies

Chandler, C., Foltz, P.W., and Elvevåg, B. (2022). Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies. Schizophrenia Bulletin. Themed Issue: Translating Natural Language Processing (NLP) into mainstream schizophrenia assessment.

Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment

Chandler, C., Foltz, P.W., Cohen, A.S., Holmlund, T.B., and Elvevåg, B. (2021). Safeguarding against spurious AI-based predictions: The case of automated verbal memory assessment. NAACL-HLT 2021 Workshop on Computational Linguistics and Clinical Psychology

Extending the usefulness of the verbal memory test: The promise of machine learning

Chandler, C., Holmlund, T.B., Foltz, P.W., Cohen, A.S., and Elvevåg, B. (2021). Extending the usefulness of the verbal memory test: The promise of machine learning. Psychiatry Research. Volume 297, 113743. ISSN 0165-1781.

Acceptability of Collecting Speech Samples from the Elderly via the Telephone

Diaz-Asper, C., Chandler, C., Turner, R. S., Reynolds, B., and Elvevåg, B. (2021). Acceptability of collecting speech samples from the elderly via the telephone. DIGITAL HEALTH.

Applying speech technologies to assess verbal memory in patients with serious mental illness

Holmlund, T.B., Chandler, C., Foltz, P.W., Cohen, A.S., D., Cheng, J., Bernstein, J., Rosenfeld, E., and Elvevåg, B. (2020). Applying speech technologies to assess verbal memory in patients with serious mental illness. npj Digital Medicine 3 (1), 1-8.

Machine learning for ambulatory applications of neuropsychological testing

Chandler, C., Foltz, P.W., Cohen, A.S., Holmlund, T.B., Cheng, J., Bernstein, J.C., Rosenfeld, E.P., and Elvevåg, B. (2020). Machine learning for ambulatory applications of neuropsychological testing. Intelligence-Based Medicine, Volumes 1-2, 100006.

Predicting Self-Reported Affect from Speech Acoustics and Language

Chandler, C., Foltz, P.W., Cheng, J., Cohen, A.S., Holmlund, T.B., and Elvevåg, B. (2020). Predicting Self-Reported Affect from Speech Acoustics and Language. In Proceedings of the LREC 2020 Workshop on: Resources and Processing of Linguistic, Para-linguistic and Extra-linguistic Data from People with Various Forms of Cognitive/Psychiatric/Developmental Impairments (RaPID-3). pp. 9-14.

Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness

Chandler, C., Foltz, P.W., and Elvevåg, B. (2020). Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness. Schizophrenia Bulletin. Volume 46, Issue 1, pp. 1114.

Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership

Chandler, C., Foltz, P.W., Cheng, J., Bernstein, J.C., Rosenfeld, E.P., Cohen, A.S, Holmlund, T.B., and Elvevåg, B. (2019). Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership. In Proceedings of the NAACL-HLT 2019 Workshop on Computational Linguistics and Clinical Psychology. pp. 137-147.

Chelsea Chandler