Predicting response to neuromodulators in refractory chronic cough: An interpretable machine learning approach.
- DOI
- 10.1177/17534666261487594
- Published
- 2026 Jan-Dec
- Container
- Therapeutic advances in respiratory disease
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/17534666261487594,
title = {Predicting response to neuromodulators in refractory chronic cough: An interpretable machine learning approach.},
author = {Zhang L and Aierken A and Chen Q and Qiu Z and Dong R},
year = {2026},
journal = {Therapeutic advances in respiratory disease},
doi = {10.1177/17534666261487594},
url = {https://doi.org/10.1177/17534666261487594}
}RIS
TY - JOUR TI - Predicting response to neuromodulators in refractory chronic cough: An interpretable machine learning approach. AU - Zhang L AU - Aierken A AU - Chen Q AU - Qiu Z AU - Dong R PY - 2026 JO - Therapeutic advances in respiratory disease DO - 10.1177/17534666261487594 UR - https://doi.org/10.1177/17534666261487594 ER -
APA
L, Z., A, A., Q, C., Z, Q., & R, D. (2026). Predicting response to neuromodulators in refractory chronic cough: An interpretable machine learning approach.. Therapeutic advances in respiratory disease. https://doi.org/10.1177/17534666261487594
Source records
- pubmed · retrieved 2026-09-25T14:40:22.778Z
- europe-pmc · retrieved 2026-09-25T14:40:23.468Z
- doaj · retrieved 2026-09-25T14:40:22.807Z