Utilising speech-derived biomarkers to detect Alzheimer's disease with BERT-based language models: a machine learning study.
- DOI
- 10.3389/frai.2026.1875702
- Published
- 2026
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2026.1875702,
title = {Utilising speech-derived biomarkers to detect Alzheimer's disease with BERT-based language models: a machine learning study.},
author = {Khanna Z and Ho D and Remus A and Raczkowska M and Montalan R and Saha P},
year = {2026},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2026.1875702},
url = {https://doi.org/10.3389/frai.2026.1875702}
}RIS
TY - JOUR TI - Utilising speech-derived biomarkers to detect Alzheimer's disease with BERT-based language models: a machine learning study. AU - Khanna Z AU - Ho D AU - Remus A AU - Raczkowska M AU - Montalan R AU - Saha P PY - 2026 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2026.1875702 UR - https://doi.org/10.3389/frai.2026.1875702 ER -
APA
Z, K., D, H., A, R., M, R., R, M., & P, S. (2026). Utilising speech-derived biomarkers to detect Alzheimer's disease with BERT-based language models: a machine learning study.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1875702
Source records
- pubmed · retrieved 2026-11-10T08:42:44.340Z