Construction and validation of a differential diagnosis model for multiple myeloma and lymphoma based on XGBoost machine learning: an explaining analysis study of SHAP.
- DOI
- 10.1186/s12911-026-03752-2
- Published
- 2026 Aug 12
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03752-2,
title = {Construction and validation of a differential diagnosis model for multiple myeloma and lymphoma based on XGBoost machine learning: an explaining analysis study of SHAP.},
author = {Su J and Qi S and Peng T and Chen Z and Zhao Y and Liang P and Chen Z and Xia Z and Yang H},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-026-03752-2},
url = {https://doi.org/10.1186/s12911-026-03752-2}
}RIS
TY - JOUR TI - Construction and validation of a differential diagnosis model for multiple myeloma and lymphoma based on XGBoost machine learning: an explaining analysis study of SHAP. AU - Su J AU - Qi S AU - Peng T AU - Chen Z AU - Zhao Y AU - Liang P AU - Chen Z AU - Xia Z AU - Yang H PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-026-03752-2 UR - https://doi.org/10.1186/s12911-026-03752-2 ER -
APA
J, S., S, Q., T, P., Z, C., Y, Z., P, L., Z, C., Z, X., & H, Y. (2026). Construction and validation of a differential diagnosis model for multiple myeloma and lymphoma based on XGBoost machine learning: an explaining analysis study of SHAP.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03752-2
Source records
- pubmed · retrieved 2026-11-10T19:05:22.877Z