Article

Vocal markers of schizophrenia: assessing the generalizability of machine learning models and their clinical applicability

2024-11-06

Abstract excerpt

<h4>Background and Hypothesis</h4> Machine Learning (ML) models have been argued to reliably predict diagnosis and symptoms of schizophrenia based on voice data only. However, it is unclear to what extent such ML markers would generalize to different clinical samples and different languages, a crucial assessment to move towards clinical applicability. In this study, we systematically assessed the generalizability...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 66a6e70d-2303-5b56-b836-168c464e0223
DOI: 10.1101/2024.11.06.24316839

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Vocal markers of schizophrenia: assessing the generalizability of machine learning models and their clinical applicabilityDOI 10.1101/2024.11.06.24316839Read

Voice patterns as markers of schizophrenia: building a cumulative generalizable approach via a cross-linguistic and meta-analysis based investigationSemantic proximity Read

Latent Factors of Language Disturbance and Relationships to Quantitative Speech FeaturesSemantic proximity Read

Predicting PANSS symptoms in schizophrenia spectrum disorders using speech only: an international, multi-centre, retrospective, computational study across multiple languagesSemantic proximity Read

Speech disturbances in schizophrenia: assessing cross-linguistic generalizability of NLP automated measures of coherenceSemantic proximity Read

Automated Speech-Fluency Explanations for Schizophrenia DiagnosisSemantic proximity Read

TRUSTING: An International Multicenter Observational Study of Speech-Based Relapse Prediction in Psychosis Using Explainable AISemantic proximity Read

Towards A Foundation Model for Clinical Voice BiomarkersSemantic proximity Read

A double index for assessing symptoms in psychosis based on acoustic and semantic informationSemantic proximity Read

A Generalizable Speech Emotion Recognition Model Reveals Depression and RemissionSemantic proximity Read

Language or Syndrome? Investigating the Origins of the General Psychopathology Factor through Large Language Model EmbeddingsSemantic proximity Read

Mental Health Benchmarks for Large Language Models: A Systematic Scoping ReviewSemantic proximity Read

Speech-Based Markers in Paediatric ADHD: A Longitudinal Case-Control Study of Voice Features and Medication EffectsSemantic proximity Read