Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial.
- DOI
- 10.3389/fmed.2026.1716891
- Published
- 2026
- Container
- Frontiers in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2026.1716891,
title = {Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial.},
author = {Park C and Jin H and Lee B and Choi YE and Kwon O and Lim MY and Nam D and Choi DJ and Lee JH and Park JW and Ko SJ and Kim H},
year = {2026},
journal = {Frontiers in medicine},
doi = {10.3389/fmed.2026.1716891},
url = {https://doi.org/10.3389/fmed.2026.1716891}
}RIS
TY - JOUR TI - Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial. AU - Park C AU - Jin H AU - Lee B AU - Choi YE AU - Kwon O AU - Lim MY AU - Nam D AU - Choi DJ AU - Lee JH AU - Park JW AU - Ko SJ AU - Kim H PY - 2026 JO - Frontiers in medicine DO - 10.3389/fmed.2026.1716891 UR - https://doi.org/10.3389/fmed.2026.1716891 ER -
APA
C, P., H, J., B, L., YE, C., O, K., MY, L., D, N., DJ, C., JH, L., JW, P., SJ, K., & H, K. (2026). Machine learning-based prediction of herbal medicine response in functional dyspepsia: protocol for a randomized, assessor-blinded, multicenter trial.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1716891
Source records
- pubmed · retrieved 2026-09-27T12:08:13.903Z