Interpretable SHAP-based machine learning framework for patient satisfaction prediction: a case study in Thammasat University Hospital
- DOI
- 10.1186/s12911-026-03647-2
- Published
- 2026-07-02
- Container
- BMC Medical Informatics and Decision Making
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03647-2,
title = {Interpretable SHAP-based machine learning framework for patient satisfaction prediction: a case study in Thammasat University Hospital},
author = {Tanatorn Tanantong and Warut Pannakkong and Nittaya Chemkomnerd and Prachya Boonkwan},
year = {2026},
journal = {BMC Medical Informatics and Decision Making},
doi = {10.1186/s12911-026-03647-2},
url = {https://doi.org/10.1186/s12911-026-03647-2}
}RIS
TY - JOUR TI - Interpretable SHAP-based machine learning framework for patient satisfaction prediction: a case study in Thammasat University Hospital AU - Tanatorn Tanantong AU - Warut Pannakkong AU - Nittaya Chemkomnerd AU - Prachya Boonkwan PY - 2026 JO - BMC Medical Informatics and Decision Making DO - 10.1186/s12911-026-03647-2 UR - https://doi.org/10.1186/s12911-026-03647-2 ER -
APA
Tanantong, T., Pannakkong, W., Chemkomnerd, N., & Boonkwan, P. (2026). Interpretable SHAP-based machine learning framework for patient satisfaction prediction: a case study in Thammasat University Hospital. BMC Medical Informatics and Decision Making. https://doi.org/10.1186/s12911-026-03647-2
Source records
- crossref · retrieved 2026-09-26T12:56:18.708Z