An explainable machine learning model for predicting chronic coronary disease and identifying valuable text features
Clinicians can leverage text data to construct a prediction model for CCD and apply the SHAP approach to pinpoint valuable text features and elucidate the model's decision-making mechanism.
Authors
- Dasheng Lu (ORCID: https://orcid.org/0000-0001-6961-3874)
- Peipei Wang (ORCID: https://orcid.org/0000-0001-7707-3679)
- Xiangrong Xie
- Sheng Ye (ORCID: https://orcid.org/0000-0003-2314-2856)
- Mingquan Ye (ORCID: https://orcid.org/0000-0002-0237-4159)
- Lingfei Yang (ORCID: https://orcid.org/0000-0002-2984-7294)
- Weipeng Gan
Institutions
- Wannan Medical College (CN)
- First Affiliated Hospital of Wannan Medical College (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-09-22
- DOI
- https://doi.org/10.3389/fcvm.2025.1559831
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.94